Descubre las oportunidades laborales para 93 Ofertas de Data Engineer en Mexico
Data Engineer
Ford Motor Company
Publicado hace 12 días
Trabajo visto
Descripción Del Trabajo
We're seeking an experienced GCP Data Engineer who can build cloud analytics platform to meet ever expanding business requirements with speed and quality using lean Agile practices. You will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP). You will be responsible for designing the transformation and modernization on GCP, as well as landing data from source applications to GCP. Experience with large scale solution and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform or other cloud environment is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform.
+ Utilize Google Cloud Platform & Data Services to modernize legacy applications.
+ Understand technical business requirements and define engineering solutions that align to Ford Motor & Credit Companies Patterns and Standards.
+ Collaborate and work with global engineering teams to define analytics cloud platform strategy and build Cloud analytics solutions within enterprise data factory.
+ Provide Engineering leadership in design & delivery of new Unified data platform on GCP.
+ Understand complex data structures in analytics space as well as interfacing application systems. Develop and maintain conceptual, logical & physical data models. Design and guide Product teams on Subject Areas and Data Marts to deliver integrated data solutions.
+ Provide technical guidance for optimal solutions considering regional Regulatory needs.
+ Provide technical assessments on solutions and make recommendations that meet business needs and align with architectural governance and standard.
+ Guide teams through the enterprise processes and advise teams on cloud-based design, development, and data mesh architecture.
+ Provide advisory and technical consulting across all initiatives including PoCs, product evaluations and recommendations, security, architecture assessments, integration considerations, etc.
+ Leverage cloud AI/ML Platforms to deliver business and technical requirements.
**Required Skills and Selection Criteria:**
+ In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
+ 5+ years of analytics application development experience required
+ 5+ years of SQL development experience
+ 3+ years of Cloud experience (GCP preferred) with solution designed and implemented at production scale
+ Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc. or equivalent technology
+ Good understanding of domain driven design and data mesh principles.
+ Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines.
+ Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc. Strong understanding of microservices architecture.
**Nice to Have**
+ Bachelor's degree in Computer science/engineering, Data science or related field.
+ Strong leadership, communication, interpersonal, organizing, and problem-solving skills
+ Good presentation skills with ability to communicate architectural proposals to diverse audiences (user groups, stakeholders, and senior management).
+ Experience in Banking and Financial Regulatory Reporting space.
+ Ability to work on multiple projects in a fast paced & dynamic environment.
+ Exposure to multiple, diverse technologies, platforms, and processing environments.
+ Google Professional Cloud Data Engineering certification.
+ Experience in migrating legacy analytics applications to Cloud platform and business adoption of these platforms to build insights and dashboards through deep knowledge of traditional and cloud Data Lake, Warehouse and Mart concepts.
**Requisition ID** : 49474
+ Utilize Google Cloud Platform & Data Services to modernize legacy applications.
+ Understand technical business requirements and define engineering solutions that align to Ford Motor & Credit Companies Patterns and Standards.
+ Collaborate and work with global engineering teams to define analytics cloud platform strategy and build Cloud analytics solutions within enterprise data factory.
+ Provide Engineering leadership in design & delivery of new Unified data platform on GCP.
+ Understand complex data structures in analytics space as well as interfacing application systems. Develop and maintain conceptual, logical & physical data models. Design and guide Product teams on Subject Areas and Data Marts to deliver integrated data solutions.
+ Provide technical guidance for optimal solutions considering regional Regulatory needs.
+ Provide technical assessments on solutions and make recommendations that meet business needs and align with architectural governance and standard.
+ Guide teams through the enterprise processes and advise teams on cloud-based design, development, and data mesh architecture.
+ Provide advisory and technical consulting across all initiatives including PoCs, product evaluations and recommendations, security, architecture assessments, integration considerations, etc.
+ Leverage cloud AI/ML Platforms to deliver business and technical requirements.
**Required Skills and Selection Criteria:**
+ In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
+ 5+ years of analytics application development experience required
+ 5+ years of SQL development experience
+ 3+ years of Cloud experience (GCP preferred) with solution designed and implemented at production scale
+ Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc. or equivalent technology
+ Good understanding of domain driven design and data mesh principles.
+ Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines.
+ Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc. Strong understanding of microservices architecture.
**Nice to Have**
+ Bachelor's degree in Computer science/engineering, Data science or related field.
+ Strong leadership, communication, interpersonal, organizing, and problem-solving skills
+ Good presentation skills with ability to communicate architectural proposals to diverse audiences (user groups, stakeholders, and senior management).
+ Experience in Banking and Financial Regulatory Reporting space.
+ Ability to work on multiple projects in a fast paced & dynamic environment.
+ Exposure to multiple, diverse technologies, platforms, and processing environments.
+ Google Professional Cloud Data Engineering certification.
+ Experience in migrating legacy analytics applications to Cloud platform and business adoption of these platforms to build insights and dashboards through deep knowledge of traditional and cloud Data Lake, Warehouse and Mart concepts.
**Requisition ID** : 49474
Lo sentimos, este trabajo no está disponible en su región
0
~data Engineer~
Xochimilco
Dresden Partners
Hoy
Trabajo visto
Descripción Del Trabajo
**Descripción**:
Dresden Partners expertos en web technology, mobile and software development, con servicios near-shore staffing, tech international y local tech sourcing specialized.
**Busca: Data Engineer**
**Conocimientos principales**:
- 3 a 5 años de experiência en la industria en el diseño e implementación de aplicaciones basadas en datos y flujos de datos.
- Experiência en flujos de trabajo ETL, extracción y procesamiento de datos.
- Experiência en lenguaje de programación como Node.js, R, Python, Java, etc.
- Herramientas de la nube: Azure, AWS o Google Cloud.
- Experiência en creación y trabajo con RESTful API y la gestión de puertas de enlace es una ventaja.
**Tus beneficios**:
Prestaciones de ley y superiores:
- Home office
- Sueldo negociable y competitivo.
- 6 días de vacaciones a partir del primer año + 2 días flex.
- Seguro de vida
- Seguro de gastos funerarios
- Membresía de salud Argos -Membresía para titular + 4 familiares.
- 15 días aguinaldo
- 25% prima vacacional
¿Cumples con el perfil? ¡NO DEJES PASAR LA OPORTUNIDAD! contactame:
citlali.jimenez (a) dresdenpartners. com /
55 67 91 56 44
**Requisitos**:
- Inglés avanzado conversacional
Dresden Partners expertos en web technology, mobile and software development, con servicios near-shore staffing, tech international y local tech sourcing specialized.
**Busca: Data Engineer**
**Conocimientos principales**:
- 3 a 5 años de experiência en la industria en el diseño e implementación de aplicaciones basadas en datos y flujos de datos.
- Experiência en flujos de trabajo ETL, extracción y procesamiento de datos.
- Experiência en lenguaje de programación como Node.js, R, Python, Java, etc.
- Herramientas de la nube: Azure, AWS o Google Cloud.
- Experiência en creación y trabajo con RESTful API y la gestión de puertas de enlace es una ventaja.
**Tus beneficios**:
Prestaciones de ley y superiores:
- Home office
- Sueldo negociable y competitivo.
- 6 días de vacaciones a partir del primer año + 2 días flex.
- Seguro de vida
- Seguro de gastos funerarios
- Membresía de salud Argos -Membresía para titular + 4 familiares.
- 15 días aguinaldo
- 25% prima vacacional
¿Cumples con el perfil? ¡NO DEJES PASAR LA OPORTUNIDAD! contactame:
citlali.jimenez (a) dresdenpartners. com /
55 67 91 56 44
**Requisitos**:
- Inglés avanzado conversacional
Lo sentimos, este trabajo no está disponible en su región
1
Data Engineer
Xochimilco
Grupo Tress Internacional
Hoy
Trabajo visto
Descripción Del Trabajo
Grupo Tress Internacional es una empresa orgullosamente mexicana enfocada al desarrollo de software, para la administración de recursos humanos, nómina y asistencia. Contamos con alrededor de 350 colaboradores a lo largo de 19 oficinas en la República Mexicana.
**Responsabilidades**:
- Gestionar conjuntos de datos grandes y complejos a partir de requerimientos funcionales y no funcionales.
- Identificar, diseñar e implementar mejoras a los procesos internos, incluyendo rediseño de infraestructura de datos para mejorar la escalabilidad, optimización de entrega de datos y automatización de procesos manuales.
- Construcción de la infraestructura requerida para la extracción óptima, transformación y carga de datos de varios orígenes de datos utilizando tecnologías de AWS y SQL.
- Colaborar con responsables de la operación, incluyendo equipos ejecutivos, operativos, de producto, datos y diseño, y asistirlos en incidencias técnicas relacionadas a manejo de datos.
**Requisitos**:
- Experiência sólida en programación en Phyton y SQL.
- Conocimiento sólido en extracción, transformación, carga de datos, manejo de estructuras de datos, dependencias y metadatos.
- Habilidad para construir y optimizar conjuntos de datos, pipelines y arquitectura para el manejo de “big data”.
- Conocimiento sólido en proceso de limpieza, validación y calidad de datos.
- Conocimiento sólido en el uso de Amazon Web Services.
- Conocimiento sólido en metodología ágil para la gestión de proyectos.
- Habilidad para ejecutar análisis de causa raíz en procesos internos y externos relacionados a datos, para identificar oportunidades de mejora y resolución de preguntas.
- Excelentes habilidades analíticas para trabajar con conjuntos de datos no estructurados.
Tipo de puesto: Tiempo completo, Indefinido
Trabajar desde casa:
- Sí
**Responsabilidades**:
- Gestionar conjuntos de datos grandes y complejos a partir de requerimientos funcionales y no funcionales.
- Identificar, diseñar e implementar mejoras a los procesos internos, incluyendo rediseño de infraestructura de datos para mejorar la escalabilidad, optimización de entrega de datos y automatización de procesos manuales.
- Construcción de la infraestructura requerida para la extracción óptima, transformación y carga de datos de varios orígenes de datos utilizando tecnologías de AWS y SQL.
- Colaborar con responsables de la operación, incluyendo equipos ejecutivos, operativos, de producto, datos y diseño, y asistirlos en incidencias técnicas relacionadas a manejo de datos.
**Requisitos**:
- Experiência sólida en programación en Phyton y SQL.
- Conocimiento sólido en extracción, transformación, carga de datos, manejo de estructuras de datos, dependencias y metadatos.
- Habilidad para construir y optimizar conjuntos de datos, pipelines y arquitectura para el manejo de “big data”.
- Conocimiento sólido en proceso de limpieza, validación y calidad de datos.
- Conocimiento sólido en el uso de Amazon Web Services.
- Conocimiento sólido en metodología ágil para la gestión de proyectos.
- Habilidad para ejecutar análisis de causa raíz en procesos internos y externos relacionados a datos, para identificar oportunidades de mejora y resolución de preguntas.
- Excelentes habilidades analíticas para trabajar con conjuntos de datos no estructurados.
Tipo de puesto: Tiempo completo, Indefinido
Trabajar desde casa:
- Sí
Lo sentimos, este trabajo no está disponible en su región
2
Data Engineer
Guadalajara, Jalisco
Oracle
Hoy
Trabajo visto
Descripción Del Trabajo
Data Engineer -220006OO
**Applicants are required to read, write, and speak the following languages**: English
**Preferred Qualifications**
As a data engineer, you will work in an agile development environment to learn and collaborate with other group’s engineers in designing, building, maintaining and supporting batch and stream data processing pipelines and the platforms that will power them. You’ll collaborate with data ingest and visual product teams to help utility consumers make better decisions about their energy. These data pipelines and platforms will empower some of our core utility and consumer energy savings and management insights.
Duties
- Agile development
- Design, build, maintain, support Batch and Stream Data Processing Pipelines and Platforms
- Collaborate with Data ingest and visualization teams
**Skills**:
- JVM base programming Languages (Java, Scala)
- Python
- Data Processing technologies (Apache Spark)
- SQL, any dialect
- A love of data
Detailed Description and Job Requirements - External
As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.
Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.
**Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.**
**OTALAD-LOB-OU**
**Detailed Description and Job Requirements**
As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.
Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.
**Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.**
**Job**: Product Development
**Location**: MX-MX,Mexico-Guadalajara/Zapopan
**Job Type**: Regular Employee Hire
**Organization**: Oracle
**Applicants are required to read, write, and speak the following languages**: English
**Preferred Qualifications**
As a data engineer, you will work in an agile development environment to learn and collaborate with other group’s engineers in designing, building, maintaining and supporting batch and stream data processing pipelines and the platforms that will power them. You’ll collaborate with data ingest and visual product teams to help utility consumers make better decisions about their energy. These data pipelines and platforms will empower some of our core utility and consumer energy savings and management insights.
Duties
- Agile development
- Design, build, maintain, support Batch and Stream Data Processing Pipelines and Platforms
- Collaborate with Data ingest and visualization teams
**Skills**:
- JVM base programming Languages (Java, Scala)
- Python
- Data Processing technologies (Apache Spark)
- SQL, any dialect
- A love of data
Detailed Description and Job Requirements - External
As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.
Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.
**Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.**
**OTALAD-LOB-OU**
**Detailed Description and Job Requirements**
As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.
Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.
**Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.**
**Job**: Product Development
**Location**: MX-MX,Mexico-Guadalajara/Zapopan
**Job Type**: Regular Employee Hire
**Organization**: Oracle
Lo sentimos, este trabajo no está disponible en su región
3
Data Engineer
Ciudad de México, Distrito Federal
The Coca-Cola Company
Hoy
Trabajo visto
Descripción Del Trabajo
**What **you’ll** do for us**
- Work along side engineers, senior engineers, and architects to learn and develop your data engineering skills
- Participate in collaborative software design and development of the analytical products using Azure Data Services (Azure Analysis Services, Synapse Analytics, CosmosDB, Spark/Databricks, PowerBI etc.).
- Build semantic models, marts/cubes using Azure Analysis Services & Power BI
- Gain deep technical expertise in Azure Data Services.
- Translate business needs to technical specifications
- Contributes to the design, development of data-pipelines, and feature engineering of data solutions
- Ensure conceptual and architectural integrity of the platform.
- Embrace engineering and product mindset thinking.
- Gain experience supporting and working with cross-functional teams in a dynamic environment.
**Qualifications and **Requirements**
- University Degree (Bachelor) in Computer Science, Management Information System, or a related technical field plus 1-3 years related work experience or a Master's in a related field
- Good understanding of distributed computing and cloud service models: PaaS, IaaS, SaaS.
- Good working knowledge of SQL and database concepts
- Polyglot development: Capable of developing in at least one programming language like Python, Java, or Scala.
- Experience in data modeling techniques and data structures.
- Experience with DevOps and CI/CD pipelines for deploying services using Github Actions
- Willingness to learn, experiment, try new things, fail, and grow!
**Desired Qualifications**
- Experience with Big Data migrations/transformations programs in the Data Warehousing / Business Intelligence areas.
- Experience working with public clouds like Azure, AWS etc.
- Azure Certifications: DP-200: Implementing an Azure Data Solution DP-201: Designing an Azure Data Solution AZ-400: Designing and Implementing Microsoft DevOps Solutions or others related to the position.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
**What We Can Do For You**
- ** Learning and Growth opportunities**:Learn how to use world class technology and build data products
- ** Purpose Driven**: Purpose driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products**.**
- ** Global Connections**:Allows you to develop, enhance and maintain global connections that allow us to move faster and learn from others.
- ** Community of Belonging**:We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered, lets you bring your best self to work.
**Our Purpose and Growth Culture**:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
- Work along side engineers, senior engineers, and architects to learn and develop your data engineering skills
- Participate in collaborative software design and development of the analytical products using Azure Data Services (Azure Analysis Services, Synapse Analytics, CosmosDB, Spark/Databricks, PowerBI etc.).
- Build semantic models, marts/cubes using Azure Analysis Services & Power BI
- Gain deep technical expertise in Azure Data Services.
- Translate business needs to technical specifications
- Contributes to the design, development of data-pipelines, and feature engineering of data solutions
- Ensure conceptual and architectural integrity of the platform.
- Embrace engineering and product mindset thinking.
- Gain experience supporting and working with cross-functional teams in a dynamic environment.
**Qualifications and **Requirements**
- University Degree (Bachelor) in Computer Science, Management Information System, or a related technical field plus 1-3 years related work experience or a Master's in a related field
- Good understanding of distributed computing and cloud service models: PaaS, IaaS, SaaS.
- Good working knowledge of SQL and database concepts
- Polyglot development: Capable of developing in at least one programming language like Python, Java, or Scala.
- Experience in data modeling techniques and data structures.
- Experience with DevOps and CI/CD pipelines for deploying services using Github Actions
- Willingness to learn, experiment, try new things, fail, and grow!
**Desired Qualifications**
- Experience with Big Data migrations/transformations programs in the Data Warehousing / Business Intelligence areas.
- Experience working with public clouds like Azure, AWS etc.
- Azure Certifications: DP-200: Implementing an Azure Data Solution DP-201: Designing an Azure Data Solution AZ-400: Designing and Implementing Microsoft DevOps Solutions or others related to the position.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
**What We Can Do For You**
- ** Learning and Growth opportunities**:Learn how to use world class technology and build data products
- ** Purpose Driven**: Purpose driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products**.**
- ** Global Connections**:Allows you to develop, enhance and maintain global connections that allow us to move faster and learn from others.
- ** Community of Belonging**:We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered, lets you bring your best self to work.
**Our Purpose and Growth Culture**:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
Lo sentimos, este trabajo no está disponible en su región
4
Data Engineer
Ciudad de México, Distrito Federal
The Coca-Cola Company
Hoy
Trabajo visto
Descripción Del Trabajo
**What **you’ll** do for us**
- Work along side engineers, senior engineers, and architects to learn and develop your data engineering skills
- Participate in collaborative software design and development of the analytical products using Azure Data Services (Azure Analysis Services, Synapse Analytics, CosmosDB, Spark/Databricks, PowerBI etc.).
- Build semantic models, marts/cubes using Azure Analysis Services & Power BI
- Gain deep technical expertise in Azure Data Services.
- Translate business needs to technical specifications
- Contributes to the design, development of data-pipelines, and feature engineering of data solutions
- Ensure conceptual and architectural integrity of the platform.
- Embrace engineering and product mindset thinking.
- Gain experience supporting and working with cross-functional teams in a dynamic environment.
**Qualifications and **Requirements**
- University Degree (Bachelor) in Computer Science, Management Information System, or a related technical field plus 1-3 years related work experience or a Master's in a related field
- Good understanding of distributed computing and cloud service models: PaaS, IaaS, SaaS.
- Good working knowledge of SQL and database concepts
- Polyglot development: Capable of developing in at least one programming language like Python, Java, or Scala.
- Experience in data modeling techniques and data structures.
- Experience with DevOps and CI/CD pipelines for deploying services using Github Actions
- Willingness to learn, experiment, try new things, fail, and grow!
**Desired Qualifications**
- Experience with Big Data migrations/transformations programs in the Data Warehousing / Business Intelligence areas.
- Experience working with public clouds like Azure, AWS etc.
- Azure Certifications: DP-200: Implementing an Azure Data Solution DP-201: Designing an Azure Data Solution AZ-400: Designing and Implementing Microsoft DevOps Solutions or others related to the position.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
**What We Can Do For You**
- ** Learning and Growth opportunities**:Learn how to use world class technology and build data products
- ** Purpose Driven**: Purpose driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products**.**
- ** Global Connections**:Allows you to develop, enhance and maintain global connections that allow us to move faster and learn from others.
- ** Community of Belonging**:We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered, lets you bring your best self to work.
**Our Purpose and Growth Culture**:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
- Work along side engineers, senior engineers, and architects to learn and develop your data engineering skills
- Participate in collaborative software design and development of the analytical products using Azure Data Services (Azure Analysis Services, Synapse Analytics, CosmosDB, Spark/Databricks, PowerBI etc.).
- Build semantic models, marts/cubes using Azure Analysis Services & Power BI
- Gain deep technical expertise in Azure Data Services.
- Translate business needs to technical specifications
- Contributes to the design, development of data-pipelines, and feature engineering of data solutions
- Ensure conceptual and architectural integrity of the platform.
- Embrace engineering and product mindset thinking.
- Gain experience supporting and working with cross-functional teams in a dynamic environment.
**Qualifications and **Requirements**
- University Degree (Bachelor) in Computer Science, Management Information System, or a related technical field plus 1-3 years related work experience or a Master's in a related field
- Good understanding of distributed computing and cloud service models: PaaS, IaaS, SaaS.
- Good working knowledge of SQL and database concepts
- Polyglot development: Capable of developing in at least one programming language like Python, Java, or Scala.
- Experience in data modeling techniques and data structures.
- Experience with DevOps and CI/CD pipelines for deploying services using Github Actions
- Willingness to learn, experiment, try new things, fail, and grow!
**Desired Qualifications**
- Experience with Big Data migrations/transformations programs in the Data Warehousing / Business Intelligence areas.
- Experience working with public clouds like Azure, AWS etc.
- Azure Certifications: DP-200: Implementing an Azure Data Solution DP-201: Designing an Azure Data Solution AZ-400: Designing and Implementing Microsoft DevOps Solutions or others related to the position.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
**What We Can Do For You**
- ** Learning and Growth opportunities**:Learn how to use world class technology and build data products
- ** Purpose Driven**: Purpose driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products**.**
- ** Global Connections**:Allows you to develop, enhance and maintain global connections that allow us to move faster and learn from others.
- ** Community of Belonging**:We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered, lets you bring your best self to work.
**Our Purpose and Growth Culture**:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
Lo sentimos, este trabajo no está disponible en su región
5
Data Engineer
Miguel Hidalgo, Aguascalientes
OZON MOBI
Hoy
Trabajo visto
Descripción Del Trabajo
**Ozon **está revolucionando la compra motos de segunda mano. Pero no solo eso, también le da la oportunidad a los gig-workers no bancarizados y/o sin historial crediticio de adquirir de manera accesible y transparente su herramienta de trabajo más importante; su moto para repartir.
**Tu objetivo será**: Construir y mantener las estructuras de datos y las arquitecturas tecnológicas necesarias para el procesamiento, ingestión e implementación a gran escala de aplicaciones que usan datos de manera intensiva.
**¿Qué necesitas?**
- Inglés intermedio
- Python
- SQL y NoSQL databases
- Domino en Mongo db
- Data Architecture, ETL, SQL
- Soluciones de Data Warehouse
- Advanced Analytics
- Machine Learning (no excluyente)
- AWS Redshift
- Git
- Mente positiva
- Detallista
- Ownership de su trabajo
- Buenas comunicación
- Apasionado por los datos
**Qué encontrarás en OZON?**
- Trabajo 100% remoto
- 15 días de vacaciones
- Horarios flexibles
Tipo de puesto: Tiempo completo
Salario: A partir de $35,000.00 al mes
Beneficios:
- Aumentos salariales
- Descuentos y precios preferenciales
- Días de paternidad superiores a los de la ley
- Horarios flexibles
- Trabajar desde casa
- Vacaciones adicionales o permisos con goce de sueldo
Tipo de jornada:
- Lunes a viernes
Experiência:
- Data Engineer: 3 años (Obligatorio)
- Python: 3 años (Obligatorio)
- SQL: 3 años (Obligatorio)
- MongoDB: 4 años (Obligatorio)
**Tu objetivo será**: Construir y mantener las estructuras de datos y las arquitecturas tecnológicas necesarias para el procesamiento, ingestión e implementación a gran escala de aplicaciones que usan datos de manera intensiva.
**¿Qué necesitas?**
- Inglés intermedio
- Python
- SQL y NoSQL databases
- Domino en Mongo db
- Data Architecture, ETL, SQL
- Soluciones de Data Warehouse
- Advanced Analytics
- Machine Learning (no excluyente)
- AWS Redshift
- Git
- Mente positiva
- Detallista
- Ownership de su trabajo
- Buenas comunicación
- Apasionado por los datos
**Qué encontrarás en OZON?**
- Trabajo 100% remoto
- 15 días de vacaciones
- Horarios flexibles
Tipo de puesto: Tiempo completo
Salario: A partir de $35,000.00 al mes
Beneficios:
- Aumentos salariales
- Descuentos y precios preferenciales
- Días de paternidad superiores a los de la ley
- Horarios flexibles
- Trabajar desde casa
- Vacaciones adicionales o permisos con goce de sueldo
Tipo de jornada:
- Lunes a viernes
Experiência:
- Data Engineer: 3 años (Obligatorio)
- Python: 3 años (Obligatorio)
- SQL: 3 años (Obligatorio)
- MongoDB: 4 años (Obligatorio)
Lo sentimos, este trabajo no está disponible en su región
Sé el primero en saberlo
Acerca de lo último Data engineer Empleos en Mexico !
6
Data Engineer
Ciudad de México, Distrito Federal
Axity
Hoy
Trabajo visto
Descripción Del Trabajo
**Descripción del puesto**
Definir, asesorar, coordinar y/o ejecutar con visión integral las actividades del proyecto/servicio, desarrollando productos de complejidad avanzada, con calidad y de acuerdo a los tiempos asignados, a través de la correcta implementación de la solución.
**Habilidades**
- Actitud positiva II
Comunicación Efectiva II
enfoque al cliente I
Pensamiento Innovador II
Trabajo en Equipo II
Administración del cambio I
Gestión del conocimiento II
Compromiso II
Orientación a Resultados II
Pensamiento Analítico I- intermedio
novato
intermedio
novato
intermedio
intermedio
novato
novato
intermedio
intermedio
novato**Calificaciones**
As part of the International Data Engineering team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You'll interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.
**Essential Job Functions & Responsibilities**:
- Min 6-8 years of BIG data development experience
- Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development
- Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
- Experience with Java, Python to write data pipelines and data processing layers
- Experience in writing map-reduce jobs
- Demonstrates expertise in writing complex, highly-optimized queries across large data sets
- Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase, Automic & Aorta
- Highly Proficient in SQL
- Experience with Cloud Technologies (GCP, Azure)
- Experience with Relational, NoSQL/in memory data stores would be a big plus ( Oracle, Cassandra, Druid)
- Provides and supports the implementation and operations of the data pipelines and analytical solutions
- Performance tuning experience of systems working with large data sets
- Experience with streaming data processing
- Experience with meta data management tool like MITI, Monitoring tool like Ambari
- Experience in developing REST API data service
- Retail experience is huge plus
**Acerca de nosotros**
Creemos en el potencial innovador de Latinoamérica, vivimos con pasión la transformación y la convergencia digital, por eso, queremos ayudarte a maximizar tus capacidades empresariales. Es hoy cuando debemos unificar los silos, converger en un propósito común y conectar las tecnologías para transformarlas en valor.
Axity, conexiones que transforman.
Definir, asesorar, coordinar y/o ejecutar con visión integral las actividades del proyecto/servicio, desarrollando productos de complejidad avanzada, con calidad y de acuerdo a los tiempos asignados, a través de la correcta implementación de la solución.
**Habilidades**
- Actitud positiva II
Comunicación Efectiva II
enfoque al cliente I
Pensamiento Innovador II
Trabajo en Equipo II
Administración del cambio I
Gestión del conocimiento II
Compromiso II
Orientación a Resultados II
Pensamiento Analítico I- intermedio
novato
intermedio
novato
intermedio
intermedio
novato
novato
intermedio
intermedio
novato**Calificaciones**
As part of the International Data Engineering team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You'll interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.
**Essential Job Functions & Responsibilities**:
- Min 6-8 years of BIG data development experience
- Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development
- Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
- Experience with Java, Python to write data pipelines and data processing layers
- Experience in writing map-reduce jobs
- Demonstrates expertise in writing complex, highly-optimized queries across large data sets
- Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase, Automic & Aorta
- Highly Proficient in SQL
- Experience with Cloud Technologies (GCP, Azure)
- Experience with Relational, NoSQL/in memory data stores would be a big plus ( Oracle, Cassandra, Druid)
- Provides and supports the implementation and operations of the data pipelines and analytical solutions
- Performance tuning experience of systems working with large data sets
- Experience with streaming data processing
- Experience with meta data management tool like MITI, Monitoring tool like Ambari
- Experience in developing REST API data service
- Retail experience is huge plus
**Acerca de nosotros**
Creemos en el potencial innovador de Latinoamérica, vivimos con pasión la transformación y la convergencia digital, por eso, queremos ayudarte a maximizar tus capacidades empresariales. Es hoy cuando debemos unificar los silos, converger en un propósito común y conectar las tecnologías para transformarlas en valor.
Axity, conexiones que transforman.
Lo sentimos, este trabajo no está disponible en su región
7
Data Engineer
L'Oreal
Hoy
Trabajo visto
Descripción Del Trabajo
At L'Oréal, our ambition is to become the
**#1 BeautyTech company**, meaning inventing the beauty of the future while becoming the company of the future. As part of our Digital Transformation roadmap, we are designing and implementing the next generation of advanced and flexible tech products to enable business growth with the most efficient capabilities.
The individual in this role must demonstrate creatively, foresight and mature judgment as they anticipate and solve complex business problems by building data pipelines on cloud.
The individual communicates for needed investments and architectural changes or business needs is critical to ensure solutions can be created to meet the strategic business capability needs.
**Mission**:
- Understand business priorities and success measures to design and implement the right data solutions.
- Have experience in data engineering fundamentals and displays eminence in modern data architectures across the organization.
- Support architecture design and implement end-to-end modern data platforms in support of analytics use cases.
- Collaborate with business stakeholders, IT product managers, data architects, ETL developers, engineers, BI developers/data scientists, and information designers to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
- Create, extract, transform, and load (ETLs/ELTs) and reporting systems for new data using distributed data systems.
- Develop a proof-of-concept prototype with fast iteration and experimentation.
- Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community.
- Familiarity with Google Cloud platform (Big Query, Composer, Pub sub. Etc.) and Azure
- **Please visit "Your Application Space" to see the jobs you have already applied to. **:
**#1 BeautyTech company**, meaning inventing the beauty of the future while becoming the company of the future. As part of our Digital Transformation roadmap, we are designing and implementing the next generation of advanced and flexible tech products to enable business growth with the most efficient capabilities.
The individual in this role must demonstrate creatively, foresight and mature judgment as they anticipate and solve complex business problems by building data pipelines on cloud.
The individual communicates for needed investments and architectural changes or business needs is critical to ensure solutions can be created to meet the strategic business capability needs.
**Mission**:
- Understand business priorities and success measures to design and implement the right data solutions.
- Have experience in data engineering fundamentals and displays eminence in modern data architectures across the organization.
- Support architecture design and implement end-to-end modern data platforms in support of analytics use cases.
- Collaborate with business stakeholders, IT product managers, data architects, ETL developers, engineers, BI developers/data scientists, and information designers to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
- Create, extract, transform, and load (ETLs/ELTs) and reporting systems for new data using distributed data systems.
- Develop a proof-of-concept prototype with fast iteration and experimentation.
- Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community.
- Familiarity with Google Cloud platform (Big Query, Composer, Pub sub. Etc.) and Azure
- **Please visit "Your Application Space" to see the jobs you have already applied to. **:
Lo sentimos, este trabajo no está disponible en su región
8
Data Engineer
McCormick & Company
Hoy
Trabajo visto
Descripción Del Trabajo
You may know McCormick as a leader in herbs, spices, seasonings, and condiments - and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team.
McCormick employees - all 14,000 of us across the world - are what makes this company a great place to work.
We are looking to hire a **HR Business Analyst** immediately in a Hybrid (60/40) capacity at our site in Mexico City, Mexico.
(Please submit your CV in English)
What We Bring To The Table:
The best people deserve the best rewards. In addition to the benefits you’d expect from a global leader, we also offer:
- Competitive compensation
- Career growth opportunities
- Flexibility and Support for Diverse Life Stages and Choices
- We prioritize our communities and the planet we share. We are proud to be awarded as a Diversity Inc. Top 50 company for Diversity and have multiple Sustainability awards (ranking #22 in the World and #1 in Food Products)
- Wellbeing programs including Physical, Mental and Financial wellness
Ensuring compliance with various employment-related regulations. Is responsible for gathering, analyzing, and reporting HR data to relevant regulatory bodies, helping the organization maintain a strong commitment to legal and ethical practices. This role requires a meticulous attention to detail, a deep understanding of HR regulations, and the ability to communicate complex information effectively.
**Description**
**% of Time Spent**
- Data Gathering and Analysis.
%40
- Regulatory Reporting
%30
- Assists Assistant Managers in monthly ad-hoc reporting projects.
%30
Essential requirements:
- Bachelor’s degree in Data scientist, finance, economics, human resources or related.
- Certification and/or Licenses
- Experience as Business Analyst or related 1-2 years
- Power BI to create dashboards
- Experience with reporting.
- Able to influence stakeholders at different levels of the organization.
Softskills
- Costumer focus
- Effective communication
- Results driven
- Problem solving
- Emotional intelligence
Other Skills and HPO Competencies
- Strategic thinking
- Business Savvy & Acumen
- Attention to detail
McCormick and Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
**As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future.
McCormick employees - all 14,000 of us across the world - are what makes this company a great place to work.
We are looking to hire a **HR Business Analyst** immediately in a Hybrid (60/40) capacity at our site in Mexico City, Mexico.
(Please submit your CV in English)
What We Bring To The Table:
The best people deserve the best rewards. In addition to the benefits you’d expect from a global leader, we also offer:
- Competitive compensation
- Career growth opportunities
- Flexibility and Support for Diverse Life Stages and Choices
- We prioritize our communities and the planet we share. We are proud to be awarded as a Diversity Inc. Top 50 company for Diversity and have multiple Sustainability awards (ranking #22 in the World and #1 in Food Products)
- Wellbeing programs including Physical, Mental and Financial wellness
Ensuring compliance with various employment-related regulations. Is responsible for gathering, analyzing, and reporting HR data to relevant regulatory bodies, helping the organization maintain a strong commitment to legal and ethical practices. This role requires a meticulous attention to detail, a deep understanding of HR regulations, and the ability to communicate complex information effectively.
**Description**
**% of Time Spent**
- Data Gathering and Analysis.
%40
- Regulatory Reporting
%30
- Assists Assistant Managers in monthly ad-hoc reporting projects.
%30
Essential requirements:
- Bachelor’s degree in Data scientist, finance, economics, human resources or related.
- Certification and/or Licenses
- Experience as Business Analyst or related 1-2 years
- Power BI to create dashboards
- Experience with reporting.
- Able to influence stakeholders at different levels of the organization.
Softskills
- Costumer focus
- Effective communication
- Results driven
- Problem solving
- Emotional intelligence
Other Skills and HPO Competencies
- Strategic thinking
- Business Savvy & Acumen
- Attention to detail
McCormick and Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
**As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future.
Lo sentimos, este trabajo no está disponible en su región
9