Data Engineer (AWS+Pyspark)
Zensar Technologies (company site, opens in a new tab)4–7 yrsHyderabadOn-siteDirect career pageEst. 10–18 LPA
Posted 21d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and support end-to-end data pipelines leveraging AWS services and big data frameworks.
- Optimize and maintain complex data processing workflows using Python, PySpark, and SQL for large datasets.
- Manage AWS infrastructure components including IAM roles, policies, and monitoring with CloudWatch and CloudTrail for secure and reliable data operations.
Minimum Requirements
- 4–7 years of hands-on experience as a Data Engineer focused on AWS data pipelines.
- Strong programming skills in Python and PySpark with big data processing experience.
- Expertise in AWS core services including Lambda, RDS, CloudWatch, CloudTrail, SNS, SQS and analytics services like EMR, Glue, Lake Formation, DynamoDB.
- Advanced SQL skills for complex queries and performance tuning on large datasets.
Ideal Candidate Profile
- Experienced in secure AWS infrastructure management with emphasis on IAM role design and least-privilege policy enforcement.
- Proven track record of building resilient, scalable data ingestion and transformation pipelines in distributed environments.
- Strong operational focus on monitoring, troubleshooting, and root cause analysis of data workflows and AWS service integrations.