Data Product Engineer

Data Product Engineer

We are looking for an experienced Data Product Engineer who is passionate about building modern, scalable, and high-quality data solutions. If you enjoy working with cloud technologies, data platforms, and driving data excellence across the organization, we'd love to hear from you!

What You'll Bring

• 10+ years of experience in Data Engineering, Data Platforms, or related roles.
• Strong hands-on experience with:
• Databricks (Delta Lake, Workflows, DAGs)
• Apache Airflow / Astronomer
• Python, SQL, DBT
• AWS
• Experience implementing CI/CD pipelines using tools such as Harness, GitHub Actions, or Azure DevOps.
• Solid understanding of data governance, data lineage, metadata management, and data contracts.
• Experience with data quality, data security, and masking techniques.
• Knowledge of API-based integrations and enterprise data ecosystems.
• Familiarity with monitoring and observability tools such as Datadog.

What You'll Do

• Build, enhance, and maintain scalable data products and platforms.
• Design and optimize data pipelines using modern cloud technologies.
• Ensure data quality, governance, security, and reliability across the data ecosystem.
• Develop and support API-based integrations with enterprise applications.
• Implement automation and CI/CD best practices to improve development efficiency.
• Monitor platform performance and proactively resolve issues.
• Collaborate with cross-functional teams to deliver data solutions that drive business value.

Why Join Us?

You'll have the opportunity to work on cutting-edge data technologies, collaborate with talented teams, and help shape data products that make a real impact across the organization.

Location: Mty, Gdl, CDMX and Qro.

Experience: 10+ Years

Role: Data Product Engineer | Data Engineering | Databricks | AWS | Airflow | Python | DBT | SQL

Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression, age, marital status, disability, sexual orientation or any others.