150 Ofertas de Cloudera Certified Data Engineer en Mexico

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

**The Company**

Wizeline is a global technology services provider that partners with Fortune 500 companies and startups to build high-quality digital products and platforms that accelerate time-to-market. Our diverse and adaptive teams provide the right combination of solutions and methodologies to deliver results while collaborating with our customers’ teams to foster innovation through continuous learning.

**Our People**

At Wizeline, we understand that great people and teams build great software. All team members are empowered to take ownership, raise their hands, and develop innovative solutions to our customers’ most challenging problems. To retain and develop top talent, we foster a working environment that celebrates creativity, encourages skill development, and allows for multidisciplinary collaboration.

**Community Impact**

We are invested in making a positive impact in our communities. That’s why we created Wizeline Academy, a free, community-based education program that teaches high-value skills to workers looking to advance their tech industry careers. To date, Academy has served more than 32,000 students with 250 instructors across 194 courses. Wizeliners have the opportunity to upskill by taking Academy courses and can also share their expertise by delivering classes to students.

**What you will bring to the team**

We are looking for Senior Data Engineers to drive the architectural design, implementation plan, best practices, and testing plans for projects involving terabytes of data, which will serve as the foundation for advanced analytics and machine learning tasks to be performed by data scientists on top of that infrastructure.

**Your day-to-day activities**:

- Design and implement product features in collaboration with product owners, report developers, product analysts, architects, and business partners within an Agile / Scrum methodology.
- Design and implement data platforms for large-scale, high performance and scalable requirements, integrating data from several data sources, managing structured and unstructured data while melding existing warehouse structures.
- Analyze, diagnose and identify bottlenecks in data workflows
- Participate in demos to clients as well as requirements elicitation and translation to systems requirements (functional and nonfunctional).
- Constantly monitor, refine and report on the performance of data management systems.

**Are you a fit?**:
To be successful in this role, you must have:

- Strong General Programming Skills
- Experience with Spark.
- Solid engineering foundations (good coding practices, good architectural design skills)
- Experience working with SQL in advanced scenarios that require heavy optimization
- 4+ years of experience with large-scale data engineering with emphasis on analytics and reporting
- 2+ years of experience developing on Hadoop-like Ecosystem
- Experience building cloud scalable, real time and high-performance Data Lake solutions.
- Proficiency designing and implementing ETL (Extract, Transform, load) processes, dealing with big volumes of data (terabytes of data which required distributed processing)
- Experience developing solution within Cloud Services (AWS, GCP or Azure)
- Experience with NoSQL databases such as Apache HBase, MongoDB or Cassandra.
- Experience in data streams processing technologies including Kafka, Spark Streaming, etc
- Advanced English level.

**Why You Should Apply**

Still not convinced you should apply? Here are some of the things that make Wizeline different from other technology services companies:
**Our Values**

At Wizeline, we value innovation, community, and ownership. Our commitment to diversity, inclusion, and respect fosters an environment where everyone does well and does good. We're proud to be recognized by the Human Rights Campaign Foundation in response to our inclusive corporate policies and best practices for LGBTQ+ employees.

**Our Culture**

We offer exceptional career growth opportunities to our employees with skill development workshops, mentoring programs, and support for side projects or entrepreneurial work. In 2020, we won a Súper Empresas award for our organizational culture and climate.

**Our Benefits and Perks**

We offer competitive compensation and employee-centric benefits, including industry-leading maternity and paternity leave, wellness programs, and remote work opportunities. In recognition of our superb employee benefits, we even qualified for the Súper Espacios award in 2020.

**Our Global Family**

To support the global nature of our business and help our employees grow beyond their technical skills, we offer free virtual English and Spanish language classes as well as provide immigration support when applicable. Prior to COVID-19, we had a robust Work Abroad program in place, which we plan to continue once it’s safe to do so.

**#AllAreWelcomeHere**

Wizeline creates and fosters a diverse, inclusive, and harassment-free workplace where eve

**Actividades**:
Responsable de la exploración de datos, construir infraestructura y arquitectura de datos, así como modelado intermedio, feature engineering (preparación de datos).

**Conocimientos**:

- Data mining
- Python & R
- Power BI, Qlick o Tableu ,
- SAP, SapBi
- AWS Wrangler, Redshift & Glue
- Excel avanzado
- Gestión ágil de proyectos (SCRUM).
- MSSQL, MySQL, InfluxDB.
- Big Data tools: Apache Spark

**Requisitos**:
Carrera Profesional afín: Ciencia de datos, Ing. En sistemas, Ciencias computacionales, Finanzas, actuarios

3 años de experiência puestos afines a proyectos de transformación digital o analítica de datos.

Ingles avanzado

 Overview:
**Role Purpose**

**Do**
- **
Instrumental in understanding the requirements and design ofthe product/ software**
- _ Develop software solutions by studying information needs,studying systems flow, data usage and work processes_
- _ Investigating problem areas followed by the software developmentlife cycle_
- _ Facilitate root cause analysis of the system issues and problemstatement_
- _ Identify ideas to improve system performance and impactavailability_
- _ Analyze client requirements and convert requirements to feasibledesign_
- _ Collaborate with functional teams or systems analysts who carryout the detailed investigation into software requirements_
- _ Conferring with project managers to obtain information onsoftware capabilities_
- ** Perform coding and ensure optimal software/ moduledevelopment**
- _Determine operational feasibility by evaluating analysis,problem definition, requirements, software development and proposedsoftware_
- _ Develop and automate processes for software validation by _setting up and designing test cases/scenarios/usage cases, andexecuting these cases_
- _ Modifying software to fix errors, adapt it to new hardware,improve its performance, or upgrade interfaces._
- _ Analyzing information to recommend and plan the installation ofnew systems or modifications of an existing system_
- _ Ensuring that code is error free or has no bugs and test failure_
- _ Preparing reports on programming project specifications,activities and status_
- _ Ensure all the codes are raised as per the norm defined forproject / program / account with clear description and replicationpatterns_
- _ Compile timely, comprehensive and accurate documentation andreports as requested_
- _ Coordinating with the team on daily project status and progressand documenting it_
- _ Providing feedback on usability and serviceability, trace theresult to quality risk and report it to concerned stakeholders_
- ** Status Reporting and Customer Focus on an ongoing basis withrespect to project and its execution**
- _ Capturing all the requirements and clarifications from theclient for better quality work_
- _ Taking feedback on the regular basis to ensure smooth and ontime delivery_
- _ Participating in continuing education and training to remaincurrent on best practices, learn new programming languages, and betterassist other team members._
- _ Consulting with engineering staff to evaluate software-hardwareinterfaces and develop specifications and performance requirements_
- _ Document and demonstrate solutions by developing documentation,flowcharts, layouts, diagrams, charts, code comments and clear code_
- _ Documenting very necessary details and reports in a formal wayfor proper understanding of software from client proposal toimplementation _
- _ Timely Response to customer requests and no instances ofcomplaints either internally or externally_

**_
Stakeholder Interaction_**

**_
Stakeholder Type_**

**_
Stakeholder Identification_**

**_
Purpose of Interaction_**

**_
Internal_**
- Lead Software Developer and Project Manager_
- Regular reporting & updates_
- Software Developers- For work coordination and support in providing testing solutions_

**_
External_**
- Clients_
- Provide apt solutions and support as per the requirement_

**Display**
- Lists the competencies required to perform this role effectively:_
- **_ Functional Competencies/ Skill_**
- Leveraging Technology - Knowledge of current and upcomingtechnology along with expertise in programming (automation, tools andsystems) to build efficiencies and effectiveness in own function/ Clientorganization - **_Competent_**:

- Process Excellence - Ability to follow the standards and norms toproduce consistent results, provide effective control and reduction ofrisk -**_ Expert_**:

- Technical knowledge - knowledge of various programminglanguages, tools, quality management standards and processes - **_Expert_**

**_
Competency Levels_**

**_
Foundation_**
- Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with mínimal support and guidance._

**_
Competent_**
- Consistently demonstrates the full range of the competencywithout guidance. Extends the competency to difficult and unknownsituations as well._

**_
Expert_**
- Applies the competency in all situations and is serves as a guideto others as well._

**_
Master_**
- Coaches others and builds organizational capability in thecompetency area. Serves as a key resource for that competency and isrecognised within the entire organization._
- **_
Behavioral Competencies_**
- _ Formulation & Prioritization_
- _ Innovation_
- _ Managing Complexity_
- _ Execution Excellence_
- _ Passion for Results_

**Deliver**

**_
No._**

**_
Performance Parameter_**

**_
Measure_**

1.

Continuous Integration, Deployment & Monitoring of Software

100% error free on boarding & implementation, throughput %,Adherence to the schedule/ release plan

2.

Quality & CSAT

On-Time Delivery, Manage sof

Guadalajara, Mexico
- Tech Hiring
- 2895036

**Role Purpose**

**Do**

**Instrumental in understanding the requirements and design ofthe product/ software**
- Develop software solutions by studying information needs,studying systems flow, data usage and work processes_
- Investigating problem areas followed by the software developmentlife cycle_
- Facilitate root cause analysis of the system issues and problemstatement_
- Identify ideas to improve system performance and impactavailability_
- Analyze client requirements and convert requirements to feasibledesign_
- Collaborate with functional teams or systems analysts who carryout the detailed investigation into software requirements_
- Conferring with project managers to obtain information onsoftware capabilities_

**Perform coding and ensure optimal software/ moduledevelopment**
- Determine operational feasibility by evaluating analysis,problem definition, requirements, software development and proposedsoftware_
- Develop and automate processes for software validation by _
- setting up and designing test cases/scenarios/usage cases, andexecuting these cases_
- Modifying software to fix errors, adapt it to new hardware,improve its performance, or upgrade interfaces._
- Analyzing information to recommend and plan the installation ofnew systems or modifications of an existing system_
- Ensuring that code is error free or has no bugs and test failure_
- Preparing reports on programming project specifications,activities and status_
- Ensure all the codes are raised as per the norm defined forproject / program / account with clear description and replicationpatterns_
- Compile timely, comprehensive and accurate documentation andreports as requested_
- Coordinating with the team on daily project status and progressand documenting it_
- Providing feedback on usability and serviceability, trace theresult to quality risk and report it to concerned stakeholders_

**Status Reporting and Customer Focus on an ongoing basis withrespect to project and its execution**
- Capturing all the requirements and clarifications from theclient for better quality work_
- Taking feedback on the regular basis to ensure smooth and ontime delivery_
- Participating in continuing education and training to remaincurrent on best practices, learn new programming languages, and betterassist other team members._
- Consulting with engineering staff to evaluate software-hardwareinterfaces and develop specifications and performance requirements_
- Document and demonstrate solutions by developing documentation,flowcharts, layouts, diagrams, charts, code comments and clear code_
- Documenting very necessary details and reports in a formal wayfor proper understanding of software from client proposal toimplementation _
- Timely Response to customer requests and no instances ofcomplaints either internally or externally_

**_
Stakeholder Interaction_**

**_
Stakeholder Type_**

**_
Stakeholder Identification_**

**_
Purpose of Interaction_**

**_
Internal_**
- Lead Software Developer and Project Manager_
- Regular reporting & updates_
- Software Developers- For work coordination and support in providing testing solutions_

**_
External_**
- Clients_
- Provide apt solutions and support as per the requirement_

**Display**
- Lists the competencies required to perform this role effectively:_
- **_ Functional Competencies/ Skill_**
- Leveraging Technology - Knowledge of current and upcomingtechnology along with expertise in programming (automation, tools andsystems) to build efficiencies and effectiveness in own function/ Clientorganization - **_Competent_**:

- Process Excellence - Ability to follow the standards and norms toproduce consistent results, provide effective control and reduction ofrisk -**_ Expert_**:

- Technical knowledge - knowledge of various programminglanguages, tools, quality management standards and processes - **_Expert_**

**_
Competency Levels_**

**_
Foundation_**
- Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with mínimal support and guidance._

**_
Competent_**
- Consistently demonstrates the full range of the competencywithout guidance. Extends the competency to difficult and unknownsituations as well._

**_
Expert_**
- Applies the competency in all situations and is serves as a guideto others as well._

**_
Master_**
- Coaches others and builds organizational capability in thecompetency area. Serves as a key resource for that competency and isrecognised within the entire organization._
- **_
Behavioral Competencies_**
- _ Formulation & Prioritization_
- _ Innovation_
- _ Managing Complexity_
- _ Execution Excellence_
- _ Passion for Results_

**Deliver**

**_
No._**

**_
Performance Parameter_**

**_
Measure_**

1.

Continuous Integration, Deployment & Monitoring of Software

100% error free on boarding & implementation, throughput %,Adherence to the schedule/ release plan

2.

Quality & CSAT

On-Time Delivery, Manage software, Troubleshoo

**Already in Data Engineering?**:
Our organization and the services we provide to our clients are becoming more and more data driven, therefore we are currently in need of a Data Engineer to join our Data & AI team in Kaunas. As Data Engineer you will collaborate with data scientists and data analysts, software development teams and architects on data initiatives and will ensure optimal data delivery pipeline is consistent through ongoing projects. You must be comfortable supporting the data needs of different projects from different systems and products as well as join initiatives to optimize or even re-design Centric’s data architecture to support our next generation of products. Meaningful Data engineer requires close cooperation between the data scientists, data analysts and the domain experts, both in Centric and at our Client.

**What you bring to the team**:

- At least 2 years of experience in a similar role.
- Bachelor’s or Master’s degree in Computer Science or relevant.
- Thorough knowledge of data manipulation (Extract, Transform, Load) in large volumes (batch and stream).
- Experience with database systems, data storage and engines for big data processing such as: SSIS, Microsoft SQL Server, Azure SQL Data Warehouse, Amazon AWS, RavenDB, Hadoop, Apache etc.
- Basic knowledge of PowerShell.
- Python programming language and libraries such as: Pandas, PySpark, Apache Airflow, Flask.
- Bonus points for experience with Snowflake and Azure Data factory.

**What we offer**:

- Designing and operating scalable solutions/systems for processing, analysing and managing large amounts of variable data on hybrid cloud.
- Collaborate with engineering departments, data scientists and data analysts to understand technical/integrity/security needs and advise on system solutions to build appropriate data pipelines.
- Gathering, analysing data from internal and external sources and APIs to add value.
- Optimize joint development efforts through appropriate database use and project design.
- Communicate sustainable technical solutions to stakeholders addressing the rationale behind.

**De unit waar jij komt te werken**:
We appreciate our committed employees and we complement that with a commitment of our own - our benefits package. We care about your wellbeing, work-life balance, education and we celebrate our milestones. Our benefits to employees include:

- Additional health insurance - we care about your health.
- 3rd pillar pension funds - we care about your future.
- Accident and travel insurance - we want to support you in unexpected situations.
- Additional vacation days - we understand the importance of your rest.
- Employment anniversary bonus scheme - we are grateful for your commitment.
- Flexible hybrid work possibilities - we want to provide you with convenient work schedule.
- Trainings and certifications - we care about your personal development.
- Birthday vouchers - we want to make you happy.
- Team building events - let’s have fun together.
- Pet-friendly work environment - we care about our colleagues pets.
- Sport activities - we play basketball, beach tennis, foosball and etc.

The salary for this position starts from €3200 to €4200 gross per month, depending on the knowledge and experience.

**Oneindige mogelijkheden**:

**Finvero es el primer Marketplace de Crédito que ofrece a negocios, financieras, bancos, etc. La posibilidad de expandir sus productos financieros a un mercado no bancarizado.**

**Funciones**:

- Diseñar, desarrollar e implementar pipelines de datos eficientes y escalables para la adquisición, transformación y carga de datos desde diversas fuentes hacia almacenes de datos usando herramientas como Azure DataFactory.
- Colaborar con los equipos de ciencia de datos y analítica para entender los requisitos de datos y proporcionar soluciones técnicas que permitan análisis eficientes.
- Optimizar el rendimiento de los sistemas de datos, identificando cuellos de botella, realizando ajustes y aplicando técnicas de escalado horizontal y vertical según sea necesario.
- Documentar y mantener la documentación técnica relevante, como diagramas de arquitectura, flujos de datos y procedimientos de configuración.

**Herramientas**:

- Azure
- Databricks
- Data Lake Storage
- SQL Database

Tipo de puesto: Tiempo completo

Sueldo: $40,000.00 - $70,000.00 al mes

Beneficios:

- Estacionamiento de la empresa

Tipo de jornada:

- Lunes a viernes

Experiência:

- Databricks: 4 años (Obligatorio)
- Data Lake: 4 años (Obligatorio)
- Azure: 4 años (Obligatorio)
- gobierno de datos: 3 años (Obligatorio)

Lugar de trabajo: remoto híbrido en 11000, Ciudad de México, CDMX

Decision Point offers an entrepreneurial environment and exposure to advanced analytics in the domain of sales and marketing. The team at Decision Point is very young, energetic, and highly skilled. Our team consists of talented business consultants, data scientists and engineers who are passionate about implementing analytics in real world business problems.

A career at Decision Point is rich in global experience and offers opportunities to build lasting relationships.

**Job functions**:

- Data Infrastructure Development: Design, build, and maintain scalable data infrastructure on Azure / AWS / GCP using PySpark for data processing to support various data initiatives and analytics needs within the organization
- Data Pipeline Implementation: Design, develop and maintain scalable data pipelines to ingest, transform, and load data from various sources into cloud-based storage and analytics platforms using Python, PySpark, and SQL
- Performance Optimization: - Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness, leveraging PySpark's capabilities. - Implement data quality checks and monitoring to ensure the reliability and integrity of data pipelines.
- Build and optimize data warehouse solutions for efficient storage and retrieval of large volumes of structured and unstructured data.

**Qualifications and requirements**:

- Data Governance and Security: Implement data governance policies and security controls to ensure compliance and protect sensitive information across Azure, AWS and GCP environments.
- Collaboration and Support: Collaborate with cross-functional teams to understand data requirements and provide technical support for data-related initiatives and projects.
- +1 year of experience as Data Engineer
- Strong understanding of data modeling, ETL processes, and data warehousing concepts
- Experience in SQL language and sound knowledge of Database administration like: Managing MySQL Server, MS SQL Server
- Proficiency in Python related to Data Science (Pyspark) for developing data pipelines, ETL (Extract, Transform, Load) processes, and automation scripts.
- English

**Desirable skills**:

- Proficiency in Microsoft Excel and hands-on experience on Excel VBA
- Experience working with cloud platforms for deploying and managing scalable data infrastructure is a plus (Azure, GCP, AWS)
- Experience working with Linux
- Familiarity with working with numerous large data sets
- Comfort in a fast-paced environment
- Strong analytical skills with the ability to collect, organize, analyses, and disseminate significant amounts of information with attention to detail and accuracy
- Excellent problem-solving skills
- Strong interpersonal and communication skills for cross-functional teams
- Proactive approach to continuous learning and skill development

**Conditions**:

- Hybrid 4x1 in CL and 3x2 in MX from the fourth month (4 days a week in office and 1 from home, in Mexico 3 days a week in office and 2 from home)
- Lunch and Healthy Snacks (CL)
- Complementary Health Insurance (CL)
- 2 Days free per quarter of the year
- 5 extra days of vacation

**Flexible hours**
Flexible schedule and freedom for attending family needs or personal errands.

**Partially remote**
You can work from your home some days a week.

**Health coverage**
Decision Point LATAM pays or copays health insurance for employees.

**Computer provided**
Decision Point LATAM provides a computer for your work.

**Vacation over legal**
Decision Point LATAM gives you paid vacations over the legal minimum.

**Beverages and snacks**
Decision Point LATAM offers beverages and snacks for free consumption.