Data Engineer-1882

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General Information

About the role:

As a Data Engineer, you’ll be joining the team that is responsible for data integration, data collection and data science. Our Engineers construct, install, test and maintain highly scalable, state-of-the-art data management systems. This opportunity gives you the chance to work alongside some of the leading Data Engineers.

 What’s in it for you:

  • Competitive compensation, benefits package and company perks
  • Advancement opportunities with aggressive and structured career paths
  • Flexible work hours and work-from-home options
  • Access to the latest emerging technologies
  • Reimbursement for continuous education and technical training

 What you’ll be doing:

  • Assist in developing large-scale data structures and pipelines to ingest, move, transform and integrate data to help generate insights and meet reporting needs
  • Build cubes, data marts and data models to support internal and external customers
  • Document requirements and translate into proper system specifications
  • Execute and coordinate requirements management and change management processes
  • Support the maintenance of an on-premise Enterprise Data Warehouse
  • Lead initiatives of limited scope, providing guidance and direction to level I Data Engineers

 What you need:

  • Bachelor’s degree in Mathematics, Computer Science, Economics, Statistics, or related
  • 3-5 years of experience with SQL Server (Versions – 2012, 2016 or 2017)
  • 3+ year of experience in T-SQL with ability to write complex logic using SQL as part of ETL and effectively perform complex data analysis and discovery
  • 2+ years of experience developing solutions in Microsoft Azure  
  • 2+ years of development experience in Microsoft SQL Server Integration Services (SSIS) or other ETL delivery solutions
  • 2+ years of experience building reports with SSRS
  • Demonstrate strong organization skills and attention to detail
  • Experience in multiple programming languages (R, Java, Python, etc.)
  • Ability to multi-task in a fast-paced, changing environment
  • Experience in API data integrations into Azure or on-premise databases
  • Ability to self-motivate and meet deadlines
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