AWS Data Engineer

Hands-on AWS Data Engineer to design, build, and optimize scalable data pipelines. Will use Python/Golang to engineer serverless ETL solutions, manage secure data lakes, and resolve complex architectural challenges independently with minimal supervision., Pipeline Development: Build, maintain, and scale robust data ingestion and processing pipelines using Lambda, API Gateway and AWS Glue. Architecture & Infrastructure: Provision and manage infrastructure-as-code (IaC) using AWS CloudFormation. Data Management & Governance: Design and implement data storage/retrieval solutions leveraging DynamoDB and build compliant data governance frameworks via Lake Formation. Security: Implement strict access control, masking, and least-privilege security policies using AWS IAM. Troubleshooting: Independently analyze, debug, and resolve data pipeline or infrastructure issues with high autonomy and quick problem-solving

Core Languages: Strong programming proficiency in Python or Golang. AWS Compute & API: Deep hands-on experience with AWS Lambda, API Gateway, and DynamoDB. Data Engineering & Governance: Advanced knowledge of AWS Glue, IAM, and Lake Formation. Infrastructure as Code (IaC): Proven track record building and updating CloudFormation templates. Soft Skills: Exceptional communication skills, a proactive hands-on attitude, strong analytical problem-solving, and the ability to troubleshoot independently with minimal support.

Preferred Qualifications: Additional Cloud Services: Familiarity with AWS Step Functions, S3 lifecycle policies, and Amazon CloudWatch. Data Warehousing: Prior experience working with Amazon Redshift or Athena is a plus.