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, Git Hub Actions, or Azure Dev Ops. - 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

📌 Data product engineer (Monterrey)
🏢 Tata Consultancy Services
📍 Monterrey