ETL Data Engineer

5+ years of experience in data testing, ETL testing, and data validation. Strong proficiency in SQL for data querying, data comparison, and data integrity validation. Hands-on experience with data integration tools like SSIS and Fivetran . Experience in data modeling and working with data warehouses. Strong analytical skills to work with large datasets, data mapping, and data transformation logic. Basic scripting skills in Python for data manipulation and testing (not full programming). Exposure to emerging data engineering tools such as dbt, Databricks, Delta Lake, Iceberg, ADLS, and Data Virtualization (preferred). Experience with data testing frameworks and data validation tools like DataGap, Query surge, and Tricentis (preferred), PySpark, etc. Familiarity with testing concepts like regression testing, risk-based testing, and defect lifecycle management. Strong communication skills to work effectively with cross-functional teams in a global delivery model. Ability to work in a dynamic environment with evolving data platforms and architecture.