Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a Data Engineer to build and support production-grade cloud data pipelines and data products. This hands-on role focuses on Snowflake and AWS engineering, responsible for reliable delivery from source onboarding through production support. Key Responsibilities • Design and build scalable ingestion and transformation pipelines across Snowflake Bronze, Silver, and Gold layers • Develop modular dbt models, advanced SQL transformations, and Airflow workflows • Build AWS-based integrations using files, APIs, events, and cloud storage patterns • Perform source profiling, source-to-target mapping, cleansing, standardization, reconciliation, and data validation • Implement automated unit, integration, regression, and data quality tests using frameworks such as SODA • Support CI/CD, production deployments, monitoring, troubleshooting, performance tuning, documentation, and hypercare • Collaborate closely with architects, product teams, data stewards, and distributed engineering teams Requirements • Strong hands-on Snowflake skills, including advanced SQL, data modeling, performance tuning, and secure data access • Strong hands-on AWS data engineering skills • 8+ years in data engineering, ETL/ELT, or cloud data-platform development • Production experience with dbt and Airflow • Experience with SnapLogic or similar integration tools, Kafka, REST APIs, Git, and CI/CD • Experience implementing data quality frameworks such as SODA, automated testing, reconciliation, and observability • Ability to troubleshoot production pipelines and work effectively across onsite and offshore teams