Senior Data Engineer
Summary: The role of a Data Engineer focuses on leading the design and delivery of modern data products in collaboration with domain teams. This position emphasizes the importance of operational ownership, technical leadership, and hands-on data engineering to ensure successful product development and lifecycle management.
Main Responsibilities:
Build data products in alignment with source domain teams and cross-functional teams.
Create analytical data products for Business Intelligence, Machine Learning, and Artificial Intelligence use cases.
Work according to established best practices, providing feedback on data contracts and modeling patterns.
Enable domain teams by supporting ownership transitions and conducting pair programming.
Manage the production-grade lifecycle of data products, ensuring data quality and governance.
Key Requirements:
Minimum 5 years of experience in Data Engineering.
Proven experience delivering data products and pipelines on AWS, Snowflake, dbt, Azure.
Strong proficiency in dbt and ELT/ETL practices.
Experience with CI/CD and automated testing in data environments.
Understanding of data governance and modeling patterns.
Nice to Have:
Experience working in Data Mesh environments.
Applied DataOps principles in production environments.
Strong collaboration skills in distributed teams.