We are looking for a detail-oriented ETL Testing Engineer with Python experience to join our data engineering and quality assurance team. The ideal candidate will be responsible for validating data pipelines, performing data quality checks, and using Python for automation and testing of ETL processes.
Perform end-to-end ETL testing to ensure data accuracy, consistency, and completeness
Design and execute test cases, scenarios, and scripts for ETL processes
Validate data transformations, mappings, and business rules in the ETL layer
Develop Python scripts for test automation and data validation
Work with SQL to validate large data sets and perform backend data testing
Collaborate with data engineers, BI developers, and QA teams
Identify data quality issues and assist in troubleshooting and resolution
Document test results, defects, and provide actionable insights
Bachelors/Masters degree in Computer Science, Information Technology, or a related field
26 years of experience in ETL testing with strong exposure to Python scripting
Proficiency in SQL for data validation and manipulation
Experience with ETL tools such as Informatica, Talend, SSIS, or similar
Hands-on experience in test automation using Python, PyTest, or similar frameworks
Strong understanding of data warehousing concepts, data modeling, and data flows
Familiarity with Agile development processes and defect tracking tools like JIRA
Good analytical and problem-solving skills with attention to detail
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Keyskills: talend data quality sql informatica data validation ssis
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