Data Engineer

VeeRteq Solutions Inc.

Role: SR Data Engineer Experience: - Min 8+ Years Location: - Chicago, IL(3 days/Week) OR Remote (F2F Interview Mandatory) 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. Responsibilities: - 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. Educational Qualifications: - 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 VeeRteq Solutions is an Equal Opportunity Employer #J-18808-Ljbffr VeeRteq Solutions Inc.

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Vacancy posted 2 days ago

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