AWS Data Engineer

Were Hiring: AWS Data Engineer Client: EY GDS Location: Hyderabad Experience: 812 Years Interview Mode: L1 Virtual | L2 Face to Face Compensation (Fixed Budget) Manager 1 (89 yrs): 33.7 LPA Manager 2 (910 yrs): 38.4 LPA Manager 3 (1012 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...