ETL Qe

Experience: 8-12 years of overall professional experience, with a minimum of 7 years of hands-on experience in ETL testing and data warehousing quality assurance.

ETL Concepts: Strong, in-depth knowledge of ETL/ELT processes, data warehousing concepts, and dimensional modeling.

SQL Mastery: Expert-level SQL skills are non-negotiable. You must be able to write complex, multi-join queries to validate large datasets.

Databases: Hands-on experience with various databases (e.g., Oracle, SQL Server, PostgreSQL, Snowflake) and a good understanding of database schemas and stored procedures.

Tools: Proficiency with ETL tools (e.g., Informatica, Talend, DataStage) and/or cloud-native data services (e.g., AWS Glue, Azure Data Factory).

Scripting: Experience with a scripting language (Python is highly preferred) for test automation and data validation tasks.