Job DescriptionSenior AWS Data Engineer
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- Lead design and development of AWS Cloud Data Solutions.n
- Drive architecture and implementation for Data Lake / Lakehouse solutions.n
- Lead and mentor data engineering teams on AWS cloud best practices.n
- Handle large-scale data ingestion, transformation, and orchestration pipelines.n
- Manage client interactions, solution discussions, and delivery governance.n
- Ensure security, compliance, and performance optimization in cloud data solutions.n
- Collaborate with architects and delivery teams for end-to-end implementation.n

nEnglish
nAWS, Senior Data Engineer, Cloud, Glue, Lambda, Redshift, S3, EMR, Athena, Kinesis, DMS, Kubernetes, EKS, DevOps, Informatica, Data Lake, Data Pipeline, Lakehouse, Cloud Migration, Serverless
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- Deep hands-on expertise with AWS Cloud Data Services:n
- S3, Glue, Lambda, DMS, Redshift, Athena, EMR, Kinesis, Secret Managern
- End-to-end Data Pipeline Design – ingestion, transformation, orchestration, and delivery.n




- Strong experience in Data Lake / Lakehouse architecture on AWS.n
- Proficient in Python and SQL for data processing and automation.n
- Exposure to CI/CD pipelines, DevOps tools, and Infrastructure-as-Code (CloudFormation/Terraform).n
- Advanced understanding of Cloud-native and Serverless architecture.n
- Robust knowledge of Docker, Kubernetes, Amazon EKS.n
- Cloud migration and modernization experience.n
- In-depth understanding of networking, IAM, security, compliance, and DR in AWS.n
- Performance tuning, monitoring, and cost optimization in data solutions..n
- Collaborate closely with delivery teams to bridge gaps between design, implementation, and business expectations.n
- Lead CI/CD automation, DevOps integration, and infrastructure-as-code deployment (CloudFormation/Terraform).n
- Provide technical leadership, conduct code reviews, and enforce engineering best practices.n
- Deliver technical presentations, knowledge-sharing ses

📌 Senior AWS Data Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad