Lead design and development of AWS Cloud Data Solutions.

• Drive architecture and implementation for Data Lake / Lakehouse solutions.

• Lead and mentor data engineering teams on AWS cloud best practices. • Handle large-scale data ingestion, transformation, and orchestration pipelines.

• Manage client interactions, solution discussions, and delivery governance.

• Ensure security, compliance, and performance optimization in cloud data solutions.

• Collaborate with architects and delivery teams for end-to-end implementation.

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.

• Robust 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. • Strong 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).

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