We’re Hiring: AWS Data Engineer
Client: EY GDS
Location: Hyderabad
Experience: 8–12 Years
Interview Mode: L1 Virtual | L2 Face to Face
Compensation (Fixed Budget)
• Manager 1 (8–9 yrs): ₹33.7 LPA
• Manager 2 (9–10 yrs): ₹38.4 LPA
• Manager 3 (10–12 yrs): ₹43 LPA
? Job Summary
We are looking for experienced AWS Data Engineers with strong expertise in building scalable data pipelines and optimizing data warehouse solutions on AWS.
Requirements
Key Skills Required
• Strong experience in AWS Data Services: Glue, Lambda, EventBridge, Kinesis, S3, EMR, Redshift, RDS, Step Functions, Airflow
• Hands -on with PySpark, Python, SQL
• Expertise in AWS Glue (ETL pipelines, crawlers, Data Catalog)
• Strong experience in Redshift (cluster management, performance tuning, complex queries)
• Knowledge of IAM, CloudTrail, cluster optimization
• Experience in data design, STTM, data modeling
• Exposure to automated testing, UAT, deployment & go -live
• Version control: Git / SVN
• Data consumption tools: QuickSight, SageMaker, JDBC/ODBC