Role & responsibilities

- Deep hands-on expertise with AWS Cloud Data Services:
- S3, Glue, Lambda, DMS, Redshift, Athena, EMR, Kinesis, Secret Manager
- End-to-end Data Pipeline Design ingestion, transformation, orchestration, and delivery.
- Strong experience in Data Lake / Lakehouse architecture on AWS.
- Proficient in Python and SQL for data processing and automation.
- Exposure to CI/CD pipelines, DevOps tools, and Infrastructure-as-Code (CloudFormation/Terraform).
- Advanced understanding of Cloud-native and Serverless architecture.
- Robust knowledge of Docker, Kubernetes, Amazon EKS.
- Cloud migration and modernization experience.
- In-depth understanding of networking, IAM, security, compliance, and DR in AWS.
- Performance tuning, monitoring, and cost optimization in data solutions..




- Collaborate closely with delivery teams to bridge gaps between design, implementation, and business expectations.
- Lead CI/CD automation, DevOps integration, and infrastructure-as-code deployment (CloudFormation/Terraform).
- Provide technical leadership, conduct code reviews, and enforce engineering best practices.
- Deliver technical presentations, knowledge-sharing sessions, and training to internal and external teams.
- Contribute to RFPs/RFIs, and support pre-sales activities with solution inputs.
- Build, configure, and optimize Informatica MDM Hub components and workflows (ActiveVOS, Match Rules, Survivorship).
- Provide support on technical issues during implementation phase.

📌 Aws Data Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad