EY - GDS Consulting - AI And DATA -AI Data Platform Engineer - AWS - Senior
Hyderabad, TG, IN, 500081
INR 3715K-5400K (estimate) Senior-level Full Time
Tasks
- Apply data governance security and data SRE controls
- Build AWS native data and AI platforms
- Create lakehouse layers for curated trusted and consumption data
- Create reusable AWS platform accelerators for onboarding and monitoring
- Design and build production data pipelines
- Develop ingestion frameworks for batch streaming and event driven workloads
- Implement AI and agentic operations for production data and AI workloads
- Implement Git based delivery and CI CD with infrastructure as code
- Integrate AWS data platforms with SageMaker for MLOps and inference products
- Integrate data platforms with enterprise APIs and messaging services
- Optimize Spark Glue and EMR workloads for performance and cost
- Own data SRE observability incident response and reliability management
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Glue | AWS Glue Data Catalog | AWS IAM | AWS KMS | AWS Lambda | AWS Secrets | AWS Secrets Manager | AWS Step Functions | AWS Terraform | Amazon Athena | Amazon Bedrock | Amazon CloudTrail | Amazon CloudWatch | Amazon EKS | Amazon EMR | Amazon EventBridge | Amazon MWAA | Amazon Macie | Amazon Redshift | Amazon S3 | Amazon SageMaker | Apache Airflow | Azure DevOps | CI/CD | Data Catalog | Data Quality | Data SRE | Docker | Feature Store | FinOps | Git | GitHub Actions | Glue Data Catalog | Infrastructure as Code | Jenkins | Kubernetes | Lake Formation | Model Monitor | Model Registry | OpenTofu | Policy-as-Code | PySpark | Python | SQL | Sagemaker Pipelines | Secrets Manager | Step Functions | VPC Endpoints | “as-code”
Education
N/A
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