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.
* Solid 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.

📌 Data Engineer (Hyderabad)
🏢 Zensar
📍 Hyderabad