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Data Engineer (AWS+Pyspark)

Zensar

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Data Engineer jobs in Hyderabad · Data Engineer jobs in India · Remote Data Engineer jobs · AWS jobs · IAM jobs · Python jobs · SQL jobs

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Interviews for aws+pyspark roles keep coming back to AWS, IAM, Python, SQL. Practise those questions before you sit with Zensar.

Questions you are likely to be asked

  1. Why do you want to join Zensar?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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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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Listed on oraclehcm · posted 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.