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Data Engineer (AWS+Pyspark)

Job Description - Data Engineer (AWS+Pyspark)

Description

 



 DRequired Skills


  • 4–7 years of hands-on experience as a Data Engineer, designing, building, and supporting data pipelines on AWS.

  • Strong programming skills in Python and PySpark, with hands-on experience in distributed data processing and big data frameworks.

  • Strong SQL expertise, including complex query writing, performance optimization, and working with large datasets across relational and analytical databases.

  • Proven experience working with AWS core services, including Lambda, RDS, CloudWatch, CloudTrail, SNS, and SQS.

  • Hands-on experience with AWS data and analytics services such as:
    IAM, EMR, AWS Glue, Lambda, Lake Formation, RDS, DynamoDB, and related services.

  • Strong expertise in IAM management, including role design, policy creation, permission boundaries, and enforcing least-privilege access.

  • Experience in building and maintaining end-to-end data ingestion, transformation, and processing pipelines.

  • Solid understanding of monitoring, logging, and alerting, leveraging CloudWatch and CloudTrail.

  • Excellent debugging, troubleshooting, and root cause analysis skills across data pipelines and AWS services.



 


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