AWS Data Engineer

Role: AWS Data Engineer
Locations: Glenview IL (Hybrid Onsite)

Job Description:
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 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.

Equal opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.