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Strong employer brand, metro Bangalore location, and common mid-senior QA automation skillset increase candidate competition.
Technical Python/SQL ETL skills transfer across industries, but healthcare data context creates moderate sensitivity.
Mandatory Python and SQL skills plus ETL validation focus increase screening rigor despite no explicit years requirement.
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Develop and maintain Python automation scripts for data validation and transformation.
Perform ETL data validation across multiple sources and conduct data exploration, profiling, and standardization.
Write and optimize SQL queries and collaborate with data engineers and QA teams to ensure data quality.
Strong Python scripting skills for automation and data manipulation.
Proficient in SQL for data extraction, joins, and aggregations.
Experience in data exploration, cleaning, and standardization.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in ETL concepts including data pipelines and validation techniques.
Familiar with relational database concepts, schemas, and data modeling.
Ability to document complex automation workflows and validation logic clearly.