Data Engineer - Hybrid in Chicago

Strong Data Engineer with expertise in ETL, Python, SQL, and hands on experience in PySpark, Databricks, AWS, Terraform, Angular, and CI/CD tools.

Responsibilities: -

• Develop and manage ETL processes using Python, PySpark, and SQL.
• Work with Databricks for data processing.
• Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
• Familiarity with Terraform for infrastructure management.
• Work with Angular for front-end integration.
• Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
• Basic knowledge of Scala and HL7 is a plus.

Experience: - 8+ Years

Location: - Chicago, IL (3day/week)

Tentative Duration - 6 - 12 months

Educational Qualifications: -

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Mandatory skills

• Strong experience in Python, PySpark, and SQL
• Angular for front-end development
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
• Terraform knowledge

Experience with Git, Octopus, and Azure DevOps for CI/CD.

Good to have skills: -

• Experience PySpark, Databricks, AWS, Terraform, Angular