AWS Data/ETL Engineer
Job Description:
We are seeking an experienced AWS Data/ETL Engineer skilled in designing and implementing efficient data pipelines. The ideal candidate will have a strong background in AWS Glue, Python, and PySpark, and will be responsible for developing, optimizing, and managing ETL processes to ensure data integrity and availability.
Key Responsibilities:
• Design and implement data extraction, transformation, and loading (ETL) processes using AWS Glue.
• Develop and optimize data workflows utilizing Python and PySpark.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and implement best practices for data governance.
• Monitor and troubleshoot data pipeline issues to ensure high availability.
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