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HI

AWS Data engineer

Han IT Staffing
Location not stated
2 months ago
  • AWS
  • Python
  • Golang
  • ETL
  • API Gateway
  • AWS Glue
  • IaC
  • CloudFormation
  • DynamoDB
  • AWS IAM
  • AWS Lambda
  • IAM
  • Step Functions
  • CloudWatch
  • Redshift
  • Athena
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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 withminimal 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 inPython orGolang.
  • AWS Compute & API: Deep hands-on experience withAWS Lambda,API Gateway, andDynamoDB.
  • Data Engineering & Governance:Advanced knowledge ofAWS Glue,IAM, andLake Formation.
  • Infrastructure as Code (IaC): Proven track record building and updatingCloudFormationtemplates.
  • 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.

AWS Data engineer · Han IT Staffing

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