Software Engineer (Azure, PySpark, DataBricks)

  • location: Schaumburg, IL (remote)
  • type: Temp to Perm
  • salary: $54 - $67.50 per hour

job description

Software Engineer (Azure, PySpark, DataBricks)

job summary:
Required skills/attributes:

  • 2+ years hands-on experience with designing/developing cloud technologies in MS Azure, leveraging Azure SQL Warehouse (Synapse), Azure Delta Lake, DataBricks, PySpark and Azure Data Factory.
  • 2+ years development experience with Cognos, Power BI, Tableau and/or MicroStrategy.
  • 4+ years of experience with relational database delivery
  • 3+ years of experience in Agile Delivery
  • 1+ year experience in Azure DevOps/CICD, Terraform and GitHub.
Preferred Qualifications:

  • Bachelor's degree in engineering or equivalent experience
  • Experience building data intensive systems in a public, hybrid or private cloud environment
  • Excellent analytical skills and proven ability to work with delivery teams to think out of box
  • Communicator able to build relationships across many teams around the globe
  • Excellent organizational and planning skills
location: Schaumburg, Illinois
job type: Contract
salary: $54.00 - 67.50 per hour
work hours: 8am to 5pm
education: No Degree Required
  • Collaborate with product owners, systems analysts and software engineers to deliver against an agile roadmap of analytics initiatives to support business stakeholders in a self-service environment leveraging both on-prem and MS Azure platforms.
  • Design, develop, test and maintain data intensive applications including ETL, relational and non-relational data storage, APIs and big data application development
  • Follow and improve on processes for continuous delivery and DevOps within your team
  • Build and maintain configuration management and automation tools, deployment strategies/processes, monitoring tools.
  • Experienced in Software Engineering practices like Reliability Engineering, Deployment planning, Fault Tolerant architecture, Test Automation.
  • Collaborate on quality strategies that ensure our data platform is correct, resilient, scalable and secure
  • Support applications throughout the SDLC from design to decommission
  • Participate in defect review and triage
  • Adhere to design/coding standards and constantly improve the way we build and deliver software
  • Drive continuous improvement and automation of BI solutions and processes.
  • Maintain the production BI products, solutions, documentation and environments to ensure optimal health, including resolving production issues and responding quickly to priority problems.
  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: No Degree Required
  • Power BI
  • Cognos
  • Azure
  • PySpark
  • DataBricks

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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