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Senior Data Engineer (Databricks & AI Solutions)

00070532291

About the role

As a Senior Data Engineer (Databricks & AI Solutions), you will make an impact by building, operating, and supporting modern data platforms and AI-enabled data engineering solutions. You will work closely with architects, data teams, and business stakeholders to transform requirements into production-ready data products while ensuring data quality, reliability, observability, and operational excellence.

In this role, you will

  • Design, develop, and deploy scalable data pipelines using Databricks, PySpark, SQL, and cloud-native technologies.
  • Implement and support data quality, lineage, governance, and validation processes across enterprise data products.
  • Operate and continuously optimize AI-assisted and agent-based data engineering solutions to improve delivery efficiency and platform performance.
  • Lead troubleshooting, root cause analysis, and support activities for data pipelines, platforms, and production incidents.
  • Maintain technical documentation, knowledge repositories, and operational runbooks while collaborating with cross-functional teams throughout the data product lifecycle.

Work Model

Hybrid | São Paulo, Brazil

This role follows Cognizant’s hybrid work model, requiring periodic onsite collaboration while supporting global teams and stakeholders.

What you need to have to be considered

  • 4+ years of hands-on experience in Data Engineering.
  • Strong experience with Databricks, Apache Spark, PySpark, SQL, and Python.
  • Experience building and maintaining ETL/ELT pipelines in enterprise environments.
  • Experience working with cloud platforms, preferably Microsoft Azure.
  • Knowledge of Delta Lake, Delta Live Tables, and Unity Catalog.
  • Experience implementing data quality, reconciliation, and validation processes.
  • Experience with Git-based CI/CD practices for data engineering solutions.
  • Exposure to AI-assisted development tools, code generation platforms, or GenAI-enabled engineering workflows.
  • Experience supporting production environments, incident management, and root cause analysis.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Advanced English proficiency.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

These will help you stand out

  • Experience with ICEDQ or similar Data Quality frameworks.
  • Familiarity with Data Validation Suite (DVS) or automated data testing frameworks.
  • Experience with column-level data lineage and data governance initiatives.
  • Familiarity with agentic AI platforms and AI-powered data engineering tools.
  • Experience with Power BI, Tableau, or other analytics and visualization platforms.
  • Knowledge of modern Data Mesh, Data Product, and Data Fabric concepts.
  • Azure, Databricks, or cloud-related certifications.
  • Experience working in large-scale enterprise data transformation programs.

Please upload your resume in English

Please upload your resume in English. Resumes will be reviewed by global stakeholders involved in the selection process.

We're excited to meet people who share our mission.

About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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