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# Data Engineer

- **Company:** VeeRteq Solutions Inc
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Database, Continuous Integration, Extract Transform Load (ETL), DevOps, Identity and Access Management, Python (Programming Language), Octopus Deploy, Standard Sql, Amazon Simple Notification Service (SNS), SQL Databases, Data Processing, Git, AngularJS, Pyspark, Health Level Seven International, Integration Frameworks, Front End Software Development, Functional Programming, Cloudwatch, Terraform, Data Pipelines, Databricks
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c524d2ec156b31a3

## About the Role

* Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
 * Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

 * Strong ETL
 * Python
 * SQL
 * PySpark
 * 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

 * Databricks
 * Terraform
 * Angular
 * Basic knowledge of Scala
 * Basic knowledge of HL7

## Description

Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices., * Perform 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.
 * Support CI/CD processes using Git, Octopus, and Azure DevOps.
 * Work within cloud-based data engineering environments and data processing frameworks.


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