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AWS Data Engineer

Han IT Staffing

Wilmington, DE

Job Description

Job Description

Job Title: AWS Data Engineer
Location: Wilmington, DE and Whippany, NJ (Onsite)
Duration: Contract

  • 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.
Must Have:
  • Stash to GitLab Migration
  • GitLab pipeline issues
  • Golang must
  • Lambdas and Cloud Formation Template thorough understanding
  • AWS services- Kinesis, Kafka integration with Salesforce, Cross account transfer, service catalog, deploy product from scratch
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 updating Cloud Formation 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.
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Vacancy posted 3 days ago
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