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Mid-level, generalist ETL QA role with moderate brand presence increases applicant competition.
ETL testing skills transfer across industries but require domain-specific data warehousing experience.
Requires specific ETL, SQL and big-data testing skills so moderate filtering of candidates is expected.
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Own the entire testing lifecycle including requirement analysis, test strategy definition, test planning, and team management for ETL and data warehousing projects.
Lead coordination of testing resources, organize kick-off meetings, and ensure delivery of test efforts aligning with project timelines and quality standards.
Handle hands-on testing of databases, reporting, and ETL pipelines, including scripting with languages such as Python or Unit for automation and validation.
Experience with ETL testing, data warehousing, and SQL is mandatory.
Familiarity with batch and real-time data processing systems.
Proficiency in Agile methodologies and tools like Azure DevOps or JIRA.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing end-to-end data warehousing testing projects including test strategy, planning, and execution.
Comfortable with team leadership responsibilities such as resource allocation, training needs identification, and coordination.
Skilled in using scripting/programming languages for test automation and skilled with visualization tools such as PowerBI or Tableau.