Key Responsibilities:Develop and maintain automated test frameworks for ETL processes and data pipelines.Perform ETL testing to validate data extraction, transformation, and loading.Create Python-based automation scripts for data validation.Test real-time data streaming using Kafka.Validate workflows in AWS environments (S3, Glue, Redshift, Lambda).Collaborate with engineering teams to ensure data quality and reliability.Integrate testing into CI/CD pipelines for continuous delivery. Required Skills: 3+ years in ETL testing and data validation.Strong Python programming skills.Hands-on experience with Kafka and AWS services.Knowledge of SQL and relational databases.Familiarity with test automation frameworks (PyTest, Robot Framework).Experience with CI/CD tools (Jenkins, Git).
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