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Common QA title and broad cloud/data skill requirements increase candidate competition.
Healthcare domain and ETL-specific skills make cross-industry fit limited.
Multiple mandatory technical skills and healthcare domain knowledge increase shortlisting strictness.
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Develop and execute comprehensive test plans and cases for ETL processes to ensure data accuracy and integrity in the data warehouse.
Validate data extraction, transformation, and loading from various sources including large datasets, JSON files, and unstructured databases.
Collaborate with ETL developers, business intelligence teams, and analysts to identify data quality issues and support remediation efforts.
Bachelor’s degree in Computer Science, Information Systems, or related field.
Proven experience in ETL testing, preferably within the Healthcare domain.
Strong SQL skills and experience with data validation for large datasets, JSON files, and unstructured databases.
Familiarity with Cloud databases such as BigQuery or Snowflake and knowledge of data warehousing concepts.
Experienced in healthcare industry data models, processes, and regulatory requirements.
Skilled in Python and QA automation frameworks applied to ETL testing.
Able to collaborate cross-functionally to ensure thorough testing coverage and process improvements.