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Common QA title with moderate demand, non-Tier1 employer and some data specificity reduces applicant density.
QA skills transfer across industries, but data/ETL experience increases domain specificity.
No explicit years but domain-specific data QA skills increase filtering moderately.
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Validate data pipelines, data products, ETL processes, and reporting solutions for data quality and accuracy.
Conduct functional testing, data validation, defect management, and root cause analysis.
Collaborate with business and development teams in an Agile environment.
Work Experience Required: Not explicitly mentioned in the JD
Experience in QA for data-related products or ETL processes: Not explicitly mentioned in the JD
Familiarity with Agile methodologies: Not explicitly mentioned in the JD
No explicit degree or location requirements mentioned
Experienced in validating complex data pipelines and ETL workflows
Comfortable working in Agile team settings with cross-functional collaboration
Focused on data accuracy and reliability in product testing