Job Description
Hands-on experience in ETL, Data Warehouse, and Data Migration Testing with robust SparkSQL and database validation skills.
Validate source-to-target mappings, transformations, data lineage, business rules, reconciliation, completeness, and data quality across diverse databases and cloud platforms.
Robust expertise in Python/Shell-based ETL test automation and Spark-based data validation frameworks for large-scale financial datasets.
Experience with ETL technologies including Informatica, Ab Initio, ODI, SSIS, Data Stage, Azure Data Factory, and Databricks.
Solid understanding of Data Warehousing concepts including Facts, Dimensions, Star Schema, and SCD validations.
Develop automated validation suites covering schema validation, profiling, duplicates, referential integrity, exception handling, and data reconciliation.
Experience validating batch workflows, scheduling, and monitoring using Autosys, Control-M, or Airflow across AWS, Azure, Databricks, Snowflake, or GCP.
Design test strategies, execute test cases, analyze defects, maintain testing documentation, and collaborate with business, development, and data engineering teams to ensure reliable data delivery.

📌 Data Warehouse Test Engineer Bengaluru
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru