AWS Data Engineer - AWS Lake Formation, AWS Quicksight, Terraform

Key Skills

• AWS Lake Formation
  
• Amazon S3, Glue Data Catalog, EMR/EC2, Athena
  
• Apache Spark
  
• AWS Lambda, API Gateway, EventBridge, SNS, SQS
  
• Amazon Neptune
  
• Terraform, AWS CloudFormation, IAM
  
• AWS Infrastructure & Data Platform Engineering
  
• Amazon QuickSight
  
• AWS IAM Identity Center and Agent Core
  
• Low-Latency Data Solutions
  

Role Description

We are seeking a Senior AWS Data Engineer with strong experience in AWS data platforms, infrastructure, and automation to build and scale data solutions supporting enterprise data products. The ideal candidate will have hands-on expertise with AWS Lake Formation, S3, Glue, Spark, Athena, Terraform, and serverless AWS services.

Key Responsibilities

• Build, launch, and scale Data Factory Platform as a Service (DFPaaS) across data product producers.
  
• Establish consistent tooling and frameworks for building high-quality, interoperable data products.
  
• Design and implement AWS data infrastructure using Lake Formation, S3, Glue Data Catalog, EMR/EC2, Athena, and Spark.
  
• Develop and manage cloud infrastructure using Terraform and AWS CloudFormation.
  
• Strengthen data entitlement, access management, and governance using IAM and IAM Identity Center.
  
• Enable self-service data subscription and data sharing through the Data Portal.
  
• Improve data discovery through catalog organization, content tagging, and search capabilities.
  
• Develop event-driven and serverless solutions using Lambda, EventBridge, SNS, SQS, and API Gateway.
  
• Support low-latency data solutions and scalable data platform capabilities.
  
• Contribute to platform reliability, automation, security, and operational efficiency.
  
• Support AWS data visualization and analytics capabilities using Amazon QuickSight.