Aws Data Engineer

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.
• 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.