Data Engineer

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profile Job Location:

Chicago, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Engineer Experience: 8 years of relevant experience Location: Chicago IL (Hybrid 3 days onsite per week)

Whats in it for you

Opportunity to work as a Strong Data Engineer with hands-on expertise in ETL development Python SQL and practical experience with PySpark Databricks AWS Terraform Angular and CI/CD tools.

Responsibilities:
  • Design develop and maintain ETL pipelines using Python PySpark and SQL

  • Perform large-scale data processing and transformation using Databricks

  • Work with AWS services including S3 CloudWatch IAM SNS and Lambda

  • Use Terraform for infrastructure provisioning and management

  • Support front-end integration tasks using Angular

  • Collaborate on source control through Git and manage deployments using Octopus and Azure DevOps

  • Basic exposure to Scala and HL7 standards is an added advantage

Educational Qualifications:
  • Engineering degree: BE / ME / BTech / MTech / BSc / MSc

  • Technical certifications across relevant technologies are preferred

Skills

Mandatory Skills:

  • Strong hands-on experience in Python PySpark and SQL

  • Front-end development experience with Angular

  • Experience with AWS services: S3 CloudWatch IAM SNS Lambda

  • Working knowledge of Terraform

  • Experience with Git Octopus and Azure DevOps for CI/CD processes

Good to Have Skills:

  • Experience with PySpark Databricks AWS Terraform and Angular

Data Engineer Experience: 8 years of relevant experience Location: Chicago IL (Hybrid 3 days onsite per week) Whats in it for you Opportunity to work as a Strong Data Engineer with hands-on expertise in ETL development Python SQL and practical experience with PySpark Databricks AWS Terraform A...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala