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We are looking for a hands-on Data Engineer with strong expertise in AWS data services and distributed data processing. The ideal candidate should have solid experience building and maintaining scalable data pipelines using PySpark, AWS EMR, Athena, and AWS Glue, along with strong SQL and Python skills.
Job Responsibility
Design, develop, and maintain scalable data pipelines using PySpark and AWS services
Build ETL workflows using AWS Glue and EMR
Develop data ingestion, transformation, and processing frameworks
Optimize large-scale data processing jobs and improve performance
Write efficient SQL queries for analytics and reporting requirements
Work with structured and semi-structured datasets in cloud environments
Collaborate with data analysts, architects, and business stakeholders
Ensure data quality, reliability, and operational excellence