AWS Data Engineer -Whippany, NJ (only locals and H1’s)

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.

Key Responsibilities

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 skills.
Collaboration: Partner with cross-functional teams, acting as a supportive team member who effectively communicates technical roadblocks and solutions.
Required Skills & Qualifications

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 updatingCloudFormation 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.