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Data Engineer

Required Skills Strong experience with Python and PySpark for large-scale data processing Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions Solid SQL SQL skills and familiarity with data modeling and query optimization Experience with ETL best practices, data quality checks, and monitoring/alerting Familiarity with version control (Git) and basic DevOps/CI-CD workflows

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