Job Description & How to Apply Below
We are looking for a highly skilled ETL Tester with strong Snowflake expertise to join our data engineering/testing team. The ideal candidate will be responsible for validating data pipelines, ensuring data quality, and performing end-to-end testing of ETL processes in a cloud-based data warehouse environment.
Key Responsibilities
Design, develop, and execute test cases and test scripts for ETL and data warehouse projects
Validate data migration, transformation, and integration processes
Perform source-to-target validation using complex SQL queries
Ensure data accuracy, completeness, and consistency across systems
Work with Snowflake data warehouse to validate large-scale data sets
Perform data reconciliation and data quality checks
Collaborate with data engineers, developers, and business stakeholders
Automate ETL testing processes wherever feasible
Identify defects, track issues, and support defect resolution
Participate in requirement analysis and test planning
Conduct performance and regression testing for data pipelines
Required
Skills & Qualifications
Technical Skills
6–8 years of experience in ETL Testing / Data Warehouse Testing
Strong hands-on experience with Snowflake
Expertise in writing advanced SQL queries
Knowledge of ETL tools (Informatica, Talend, Data Stage, AWS Glue, etc.)
Experience in data validation, data mapping, and reconciliation testing
Familiarity with cloud platforms (AWS / Azure / GCP)
Knowledge of data warehousing concepts (star schema, snowflake schema, SCD, facts/dimensions)
Experience with test automation tools (optional but preferred)
Understanding of data pipelines and Big Data ecosystems
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