Tata Consultancy Services
Tata Consultancy Services

Senior AWS Data Engineer

Tata Consultancy Services
Hyderabad, TS, IN
Full-time6 - 10 yrs
3ds ago0 view0 clicked apply
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Senior AWS Data Engineer

6-10

  • 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.

English

AWS, Senior Data Engineer, Cloud, Glue, Lambda, Redshift, S3, EMR, Athena, Kinesis, DMS, Kubernetes, EKS, DevOps, Informatica, Data Lake, Data Pipeline, Lakehouse, Cloud Migration, Serverless

  • 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.
  • 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).
  • 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.
  • Java programming experience.
  • Working knowledge of Informatica MDM Hub, ActiveVOS, and data governance frameworks.
  • Exposure to data modeling, data quality, and metadata management concepts.


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