QE Automation engineer

Detailed JD

6-7 years of experience in ETL/Data Warehouse testing .

Expert-level ability to write complex SQL queries (including joins, subqueries, and aggregate functions) for data validation.

ETL & Data Warehousing: Strong understanding of ETL concepts and data warehousing principles (e.g., Star Schema, Snowflake Schema, Dimensions, Facts),

Familiar with black box testing, functional testing and regression testing

Hands-on experience with JIRA , Azure Data Factory, Snowflake, ADLS, and SQL Server.

Experience validating data transformations, mappings, and business rules,

Experience in data reconciliation, data profiling, and root cause analysis.

Experience in data quality checks and data integrity validation.

Strong analytical and problem-solving skills.

Experience in test case creation, test planning, and execution for ETL processes Strong analytical mindset and attention to detail—you spot data anomalies others miss.

Good communication skill to work with US client team members.

Familiarity with automation in data testing (e.g., using Python, PySpark, or testing frameworks) is a plus.