96 Ofertas de Google Cloud Professional Data Engineer en Mexico

EIA Data Architecture Leader

64000 Monterrey, Nuevo León Grupo Industrial Saltillo

Publicado hace 5 días

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Descripción Del Trabajo

Join Our Team as EIA Data Architecture Leader!


This is your opportunity to take the next step in your professional journey at Grupo Industrial Saltillo. We’re looking for top talent to join our Global Information Technology team, where you’ll develop skills that truly make a difference.


What We Offer

  • Dynamic Environment: Work in a culture that values curiosity, continuous learning, and innovation.
  • Real Impact & Career Growth: Contribute to high-impact projects across Mexico, Europe, and Asia.


Who We’re Looking For

If you have 10+ years of experience in data analytics tools and technologies, and you're ready to lead strategic initiatives, we want to meet you!

Technical Expertise:

  • Data Architecture: Design and oversight of complex data architectures (Advanced)
  • Data Strategy: Definition and execution of data strategies aligned with organizational goals (Advanced)
  • Big Data Tools: Hadoop, Spark, Flink (Advanced)
  • Databases: SQL (PostgreSQL, MySQL) (Advanced), NoSQL (MongoDB, Cassandra) (Advanced)
  • ETL & Data Processing: Talend, Apache NiFi, Informatica (Advanced), Apache Airflow (Intermediate)
  • AI & Machine Learning: TensorFlow, PyTorch, Scikit-learn (Advanced)
  • Cloud Infrastructure: AWS, Azure, Google Cloud (Advanced)
  • Data Visualization & BI: Tableau, Power BI, Looker (Advanced)
  • Programming Languages: Python (Advanced), SQL (Advanced)
  • Version Control & Collaboration: Git, GitHub, GitLab (Advanced)


Soft Skills:

  • Intellectual Curiosity: Always eager to ask, explore, and learn.
  • Fast Learning: Open to unlearning and acquiring new skills.
  • Adaptability: Comfortable navigating uncertainty and new challenges.
  • Business English: Able to communicate effectively across cultures.


Role Objective

Lead the organization’s data architecture, analytics, and AI strategy. Design, implement, and oversee advanced solutions that integrate data and analytics into business processes, ensuring robust and scalable data infrastructures. Provide both technical and strategic leadership, fostering a data-driven and innovative culture across the organization.


Key Responsibilities:

  1. Design and oversight of data architecture
  2. Strategic planning for data and analytics
  3. Leadership of technical teams focused on data and analytics


Requirements

  • Education: Computer Science, Systems Engineering, IT, Statistics, or related fields with a strong focus on data architecture, analytics, and AI
  • Location: Monterrey, NL
  • English: Advanced


Ready to continue your professional journey? Apply now and become part of our team!

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EIA Data Architecture Leader

Nuevo León, Nuevo León Grupo Industrial Saltillo

Hoy

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

Join Our Team as EIA Data Architecture Leader! This is your opportunity to take the next step in your professional journey at Grupo Industrial Saltillo. We’re looking for top talent to join our Global Information Technology team, where you’ll develop skills that truly make a difference. What We Offer Dynamic Environment: Work in a culture that values curiosity, continuous learning, and innovation. Real Impact & Career Growth: Contribute to high-impact projects across Mexico, Europe, and Asia. Who We’re Looking For If you have 10 years of experience in data analytics tools and technologies, and you're ready to lead strategic initiatives, we want to meet you! Technical Expertise: Data Architecture: Design and oversight of complex data architectures (Advanced) Data Strategy: Definition and execution of data strategies aligned with organizational goals (Advanced) Big Data Tools: Hadoop, Spark, Flink (Advanced) Databases: SQL (PostgreSQL, MySQL) (Advanced), NoSQL (MongoDB, Cassandra) (Advanced) ETL & Data Processing: Talend, Apache NiFi, Informatica (Advanced), Apache Airflow (Intermediate) AI & Machine Learning: TensorFlow, PyTorch, Scikit-learn (Advanced) Cloud Infrastructure: AWS, Azure, Google Cloud (Advanced) Data Visualization & BI: Tableau, Power BI, Looker (Advanced) Programming Languages: Python (Advanced), SQL (Advanced) Version Control & Collaboration: Git, GitHub, GitLab (Advanced) Soft Skills: Intellectual Curiosity: Always eager to ask, explore, and learn. Fast Learning: Open to unlearning and acquiring new skills. Adaptability: Comfortable navigating uncertainty and new challenges. Business English: Able to communicate effectively across cultures. Role Objective Lead the organization’s data architecture, analytics, and AI strategy. Design, implement, and oversee advanced solutions that integrate data and analytics into business processes, ensuring robust and scalable data infrastructures. Provide both technical and strategic leadership, fostering a data-driven and innovative culture across the organization. Key Responsibilities: Design and oversight of data architecture Strategic planning for data and analytics Leadership of technical teams focused on data and analytics Requirements Education: Computer Science, Systems Engineering, IT, Statistics, or related fields with a strong focus on data architecture, analytics, and AI Location: Monterrey, NL English: Advanced Ready to continue your professional journey? Apply now and become part of our team!
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Senior Data Architecture Specialist

Monterrey, Nuevo León beBeeData

Hoy

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Descripción Del Trabajo

Lead Data Architect

We are seeking an experienced data architect to lead our organization's data strategy, driving the development of advanced solutions that integrate data and analytics into business processes. The ideal candidate will possess a deep understanding of data architecture, analytics, and AI, with expertise in designing and implementing robust and scalable data infrastructures.

The role requires strategic planning for data and analytics, leadership of technical teams focused on data and analytics, and fostering a data-driven culture across the organization. To be successful, you will need to have a strong focus on data architecture, analytics, and AI, with excellent technical and soft skills.

Lo sentimos, este trabajo no está disponible en su región

EIA Data Architecture Leader

Monterrey, Nuevo León Grupo Industrial Saltillo

Hoy

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

Join Our Team as EIA Data Architecture Leader

This is your opportunity to take the next step in your professional journey at Grupo Industrial Saltillo. We're looking for top talent to join our Global Information Technology team, where you'll develop skills that truly make a difference.

What We Offer

  • Dynamic Environment: Work in a culture that values curiosity, continuous learning, and innovation.
  • Real Impact & Career Growth: Contribute to high-impact projects across Mexico, Europe, and Asia.

Who We're Looking For

If you have 10+ years of experience in data analytics tools and technologies, and you're ready to lead strategic initiatives, we want to meet you

Technical Expertise:

  • Data Architecture: Design and oversight of complex data architectures (Advanced)
  • Data Strategy: Definition and execution of data strategies aligned with organizational goals (Advanced)
  • Big Data Tools: Hadoop, Spark, Flink (Advanced)
  • Databases: SQL (PostgreSQL, MySQL) (Advanced), NoSQL (MongoDB, Cassandra) (Advanced)
  • ETL & Data Processing: Talend, Apache NiFi, Informatica (Advanced), Apache Airflow (Intermediate)
  • AI & Machine Learning: TensorFlow, PyTorch, Scikit-learn (Advanced)
  • Cloud Infrastructure: AWS, Azure, Google Cloud (Advanced)
  • Data Visualization & BI: Tableau, Power BI, Looker (Advanced)
  • Programming Languages: Python (Advanced), SQL (Advanced)
  • Version Control & Collaboration: Git, GitHub, GitLab (Advanced)

Soft Skills:

  • Intellectual Curiosity: Always eager to ask, explore, and learn.
  • Fast Learning: Open to unlearning and acquiring new skills.
  • Adaptability: Comfortable navigating uncertainty and new challenges.
  • Business English: Able to communicate effectively across cultures.

Role Objective

Lead the organization's data architecture, analytics, and AI strategy. Design, implement, and oversee advanced solutions that integrate data and analytics into business processes, ensuring robust and scalable data infrastructures. Provide both technical and strategic leadership, fostering a data-driven and innovative culture across the organization.

Key Responsibilities:

  1. Design and oversight of data architecture
  2. Strategic planning for data and analytics
  3. Leadership of technical teams focused on data and analytics

Requirements

  • Education: Computer Science, Systems Engineering, IT, Statistics, or related fields with a strong focus on data architecture, analytics, and AI
  • Location: Monterrey, NL
  • English: Advanced

Ready to continue your professional journey? Apply now and become part of our team

Lo sentimos, este trabajo no está disponible en su región

Data Engineer

México, México $900000 - $1200000 Y Bluetab, an IBM Company (América)

Hoy

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Descripción Del Trabajo

En Bluetab, seguimos en crecimiento y estamos en busca de personas como tú, que comparten nuestra pasión por la tecnología.

Nos destacamos por ser diferentes a la consultoría tradicional.
Aquí, creemos en contratarte para formar parte de nuestra familia. Valoramos la colaboración, el trabajo en equipo y el aprendizaje constante. Para nosotros, cada miembro es esencial, no sólo un número en una lista. Somos un equipo unido y horizontal, y queremos que así siga siendo.

Recuerda, ningún marinero se convirtió en experto en aguas tranquilas.
Sí, somos exigentes, pero nuestros desafíos también lo son. Aquí te desarrollarás junto a auténticos expertos, en entornos innovadores y siempre a la vanguardia de la tecnología. Valoramos el talento y nos preocupamos por las personas que, además de ser talentosas, son buenas personas.

Si te apasiona el trabajo en equipo, disfrutas aprendiendo y te interesa la innovación, estamos ansiosos por conocerte

¿Qué buscamos?

Desarrollar y mantener pipelines de ingesta de datos (ETL/ELT) que garanticen disponibilidad, automatización y calidad en el flujo de datos hacia el Data Home y otras soluciones analíticas.

Principales responsabilidades

  • Construir pipelines de datos (ETL/ELT) para automatizar procesos de ingesta.
  • Integrar datos estructurados y no estructurados desde diversas fuentes.
  • Participar en el diseño de la arquitectura de datos junto con el equipo de BI.
  • Colaborar en la preparación de datos para reportes y modelos analíticos.
  • Optimizar el rendimiento de procesos de carga y transformación.

Modalidad 100% presencial

Perfil del candidato/a ideal:

  • Eres un apasionado/a de la tecnología y estás siempre al día con las últimas tendencias de la industria.
  • Estás acostumbrado/a a trabajar por objetivos y en entornos altamente exigentes.
  • Tienes habilidades excepcionales de comunicación y sabes transmitir entusiasmo en el trabajo.
  • Eres una persona comprometida, con fuertes habilidades de análisis y resolución de problemas, así como habilidades de negociación.
  • Puedes establecer una conexión empática tanto con los compañeros de trabajo como con los clientes.
  • Te adaptas fácilmente a la cultura de trabajo de una empresa donde no hay grandes jerarquías y se valora la autonomía, la colaboración y el trabajo en equipo.
  • Estás interesado/a en desarrollar tu carrera en un entorno altamente competitivo con un gran potencial de crecimiento.

En Bluetab, te ofrecemos:

  • Contrato indefinido, posterior al periodo de prueba, con un salario competitivo, basado en tus habilidades técnicas y el rol asignado, con posibilidad de ajustes conforme a tus evaluaciones de desempeño.
  • Formación continua.
  • Plan de carrera individualizado en áreas técnica, funcional o de gestión (Tú decides, pero siempre continuamos formándonos).
  • Beneficios sociales que van más allá del salario, como un fondo de ahorro, seguros médicos para ti y tu familia, vales de despensa, vacaciones superiores a las establecidas por ley y más.

¿Qué estás esperando para unirte a Bluetab, an IBM Company? Queremos saber de ti pronto

En /b promovemos la diversidad de género, origen étnico, nacionalidad, la inclusión de personas con discapacidad y/o habilidades diferentes mediante la igualdad de oportunidades en todos los procesos, y buscamos ampliar las oportunidades de desarrollo profesional.

"Bluetab" es una empresa del grupo IBM. Bluetab será la entidad contratante. Al proceder con esta solicitud, usted entiende que Bluetab compartirá su información personal con otras filiales de IBM involucradas en su proceso de reclutamiento, selección y contratación, donde quiera que éstas se encuentren. Encontrará más información sobre cómo IBM protege su información personal, incluidas las medidas en caso de transferencia transfronteriza de datos, aquí: ".

Lo sentimos, este trabajo no está disponible en su región

Data Engineer

$720000 - $1440000 Y DOING

Hoy

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Descripción Del Trabajo

Consultoría de Tecnologías de la información, solicita DATA ENGINEER nivel Master.

Habilidades: Azure Databricks, Data lake, Data Factory, ETL, Gold, Silver, Bronce. Phyton. Stakeholders.

Inglés Avanzado

Modalidad: 80% HO.

Tipo de puesto: Por tiempo indeterminado

Sueldo: A partir de $60,000.00 al mes

Pregunta(s) de postulación:

  • Favor de indicar tus pretensiones económicas

Idioma:

  • Inglés (Obligatorio)

Lugar de trabajo: remoto híbrido en 11560, Colonia Polanco, CDMX

Lo sentimos, este trabajo no está disponible en su región

Data Engineer

Ciudad de México, Distrito Federal $500000 - $1200000 Y Fusemachines

Hoy

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Descripción Del Trabajo

About Fusemachines
Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide.

This is a hybrid role that requires on-site presence for 2-3 days each week OR remote from other cities in Mexico.
About The Role
We are looking for a skilled Data Engineer with a background supporting LLM applications to join our team. You will work closely with data scientists and be responsible for developing and implementing large language model (LLM)-based applications. This includes working with both proprietary and open-source models and leveraging frameworks such as LangChain to ensure seamless integration and deployment.

Responsibilities

  • Develop and implement applications that interact with LLM models.
  • Build RAG-based applications.
  • Work with vector databases for LLM-based applications.
  • Integrate models with existing systems and APIs.
  • Develop and maintain production-quality data pipelines and ETL processes.
  • Preprocess and manage data for training and deployment.
  • Collaborate with cross-functional teams to define, design, and deploy new features.
  • Write clean, maintainable, and efficient code.
  • Document development processes, code, and APIs.

Requirements

  • 5+ years of experience in data engineering, with strong expertise in Python, AWS and APIs.
  • Proven experience in developing and deploying machine learning APIs.
  • Experience in building scalable applications capable of handling large volumes of data.
  • Strong knowledge of API integration (RESTful, GraphQL).
  • Experience with data preprocessing, SQL, and NoSQL databases, as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch, OpenSearch).
  • Familiarity with deployment tools (Docker, Kubernetes).
  • Experience with DevOps tools such as Jenkins, Terraform, or Cloud Formation templates is a plus.
  • Strong problem-solving and communication skills.
  • Experience with distributed computing technologies such as Spark, Hadoop, or EMR is preferred.
  • Ability to work effectively in an agile team environment.

Preferred Qualifications

  • Degree in Computer Science, Data Science, or a related field.
  • Certifications in machine learning, data science, or cloud computing.

Equal Opportunity Employer:
Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status.

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Acerca de lo último Google cloud professional data engineer Empleos en Mexico !

Data Engineer

Ford Motor Company

Publicado hace 5 días

Trabajo visto

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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
Lo sentimos, este trabajo no está disponible en su región

Data Engineer

Cognizant

Publicado hace 8 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

**We're hiring!**
At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
We have an exciting opportunity for an exceptional individual to work supporting one of our clients as **Data Engineer**
**Must have skills**
Experience in Snowflake, Azure, and Databricks platforms to deliver the following services.
**Tasks expected to be performed:**
**General Services** :
· Program management
· Application metrics
· Documentation of applicable applications/support procedures
· Application onboarding
**Application/Platform Maintenance** :
· Routine maintenance i.e. upgrades
· Corrective maintenance - incident/problem/defect resolution
· Preventative maintenance - efficiency, reliability, and maintainability improvements
**Production Support:**
· Incident management - work on incidents as assigned
· Track, manage, and resolve incidents assigned to the queue for supported applications.
· Incident trend analysis/analysis for incident root cause
· Problem identification and resolution
· Metrics - platform/application capacity and health metrics
· Continuity - executing disaster recovery plans, population of plan information
· Create/update documentation, knowledge base articles, run books.
· Change ticket tasks, perform activities/validations, etc., as assigned
· Work on job failures/abends
· Identify root cause and suggest fixes.
· Engage development/engineering teams for complex production issues as needed.
· Perform shift handover and takeover activities from between locations.
· Suggest best practices, propose, and implement process improvements.
**Operations Support**
· Application/platform monitoring and event management
· Implementation/Deployment activities
**Service Requests**
· Work on service requests as assigned
· Work on releases and coordinate with development/engineering teams during release
**Why Cognizant?**
_Improve your career in one of the largest and fastest growing IT services providers worldwide_
_Receive ongoing support and funding with training and development plans_
_Have a highly competitive benefits and salary package_
_Get the opportunity to work for leading global companies_
_We are committed to respecting human rights and build a better future by helping your minds and the environment_
_We invest in people and their wellbeing._
_We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered._
**_Igualdad de Empleo y Política de Acción Afirmativa:_**
_Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley._
_At Cognizant we believe than our culture make us stronger!_
_Join us now!_
#BeCognizant #IntuitionEngineered
Cognizant is an equal opportunity 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.
Lo sentimos, este trabajo no está disponible en su región

Data Engineer

Cognizant

Publicado hace 8 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

**We're hiring!**
At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
We have an exciting opportunity for an exceptional individual to work supporting one of our clients as **Data Engineer**
**Must have skills**
Experience in Snowflake, Azure, and Databricks platforms to deliver the following services.
**Tasks expected to be performed:**
**General Services** :
· Program management
· Application metrics
· Documentation of applicable applications/support procedures
· Application onboarding
**Application/Platform Maintenance** :
· Routine maintenance i.e. upgrades
· Corrective maintenance - incident/problem/defect resolution
· Preventative maintenance - efficiency, reliability, and maintainability improvements
**Production Support:**
· Incident management - work on incidents as assigned
· Track, manage, and resolve incidents assigned to the queue for supported applications.
· Incident trend analysis/analysis for incident root cause
· Problem identification and resolution
· Metrics - platform/application capacity and health metrics
· Continuity - executing disaster recovery plans, population of plan information
· Create/update documentation, knowledge base articles, run books.
· Change ticket tasks, perform activities/validations, etc., as assigned
· Work on job failures/abends
· Identify root cause and suggest fixes.
· Engage development/engineering teams for complex production issues as needed.
· Perform shift handover and takeover activities from between locations.
· Suggest best practices, propose, and implement process improvements.
**Operations Support**
· Application/platform monitoring and event management
· Implementation/Deployment activities
**Service Requests**
· Work on service requests as assigned
· Work on releases and coordinate with development/engineering teams during release
**Why Cognizant?**
_Improve your career in one of the largest and fastest growing IT services providers worldwide_
_Receive ongoing support and funding with training and development plans_
_Have a highly competitive benefits and salary package_
_Get the opportunity to work for leading global companies_
_We are committed to respecting human rights and build a better future by helping your minds and the environment_
_We invest in people and their wellbeing._
_We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered._
**_Igualdad de Empleo y Política de Acción Afirmativa:_**
_Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley._
_At Cognizant we believe than our culture make us stronger!_
_Join us now!_
#BeCognizant #IntuitionEngineered
Cognizant is an equal opportunity 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.
Lo sentimos, este trabajo no está disponible en su región

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