Senior AWS Data Engineer

Job Description

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.