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ETL QA with AWS
Luxoft
posted 24d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Understand the ETL migration requirements and create a detailed test strategy for validating data pipelines.
Develop test plans, test cases, and test scripts for ETL workflows and data transformations (for SIT/UAT/NFT cycles to ensure the solution delivers the required system specifications and capabilities).
Define data quality checks and validation metrics to ensure consistency and accuracy during migration.
Payment domain experience e.g. basic payments domain knowledge, SWIFT messages (MTXXX) etc.
Compare and validate data outputs between the existing SAS DI system and the new Python-based ETL pipelines.
Verify data extraction, transformation, and loading processes on AWS EMR, S3, and Snowflake.
Perform functional, integration, and regression testing for all ETL workflows.
Must have
Strong SQL skills for querying, comparing, and validating large datasets.
Experience in testing ETL pipelines and data transformations. Familiarity with Python for test automation and scripting.
Hands-on experience with cloud platforms, particularly AWS services like S3, EMR, and Snowflake.
Knowledge of SAS DI is highly desirable for understanding legacy pipelines.
Minimum 8 years of experience in QA/testing, with a focus on ETL and data engineering projects.
Prior experience testing ETL migrations from legacy systems like SAS DI to modern platforms is a plus.
Excellent communication skills to work effectively with cross-functional teams.
Nice to have
N/A
Languages
English: B2 Upper Intermediate
Seniority
Senior
Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest.
Recommend a friendAutomated Testing Others
Switzerland
Zurich
Automated Testing Others
India
Pune
Automated Testing Others
India
Hyderabad, IN
Gurgaon, India
Req. VR-110556
Automated Testing Others
BCM Industry
20/12/2024
Req. VR-110556
Apply for ETL QA with AWS in Gurgaon
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Employment Type: Full Time, Permanent
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