EY - GDS Consulting - AI And DATA -AWS Data Engineer - Manager
INR 2000K-2700K (estimate) Mid-level Full Time
Tasks
- Apply infrastructure as code
- Build AWS data pipelines
- Create AWS platform accelerators
- Design production data ingestion
- Develop lakehouse curated layers
- Enable agentic operations for data quality and incident summaries
- Implement CI/CD and Git workflows
- Implement data governance and security controls
- Integrate SageMaker for data preparation and training
- Integrate with enterprise APIs and services
- Manage AWS data SRE operations
- Monitor and troubleshoot production data jobs
- Optimize Spark and Glue workloads
- Support MLOps workflows
Perks/Benefits
- Career development opportunities
- Coaching and feedback
- Flexible work approach
- Supportive and inclusive work culture
Skills/Tech-stack
API Integration | AWS CloudTrail | AWS Glue | AWS Glue Data Catalog | AWS IAM | AWS KMS | AWS Lake | AWS Lake Formation | AWS Lambda | AWS Secrets | AWS Secrets Manager | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon EMR | Amazon EventBridge | Amazon Macie | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon VPC | Amazon VPC Endpoints | Amazon Web Services | Apache Airflow | CDC | CI/CD | CloudFormation | Data Catalog | Data Quality | Docker | Event Driven | Event-driven architecture | Feature Store | FinOps | Git | GitHub Actions | Glue Data Catalog | Integration Testing | Jenkins | Kubernetes | Lake Formation | MLOps | MWAA | Metadata Management | Model Monitor | Model Registry | Observability | Partitioning | PySpark | Python | RAG | SQL | Secrets Manager | Shell Scripting | Step Functions | Terraform | Unit Testing | VPC Endpoints | Vector Database | Web Services
Education
N/A
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