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Job Description
- Develop and maintain ETL/data ingestion pipelines using PySpark and AWS services.
- Design and implement Lambda-based event-driven workflows.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Perform data transformation, cleansing, and enrichment.
- Monitor and troubleshoot ETL workflows to ensure reliability and high data quality.
- Python, PySpark
- AWS EMR / AWS Glue / AWS Lambda
- AWS IAM, ECS, S3
- Athena, Redshift, CloudFormation (Good to Have)
Skills
PythonEtlData EngineerAWSPythonAWS RedshiftIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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