Posted:2 weeks ago| Platform: Linkedin logo

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Job Description

  • 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.

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