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Cloud Data Engineer

chicago, IL | IT
Job ID: 103866
Listed on 2/22/2021

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.

Cloud Data Engineer 

Job Summary: Our client is looking for associates with a passion for excellence and the ability to exceed our customers' expectations - attributes that have been keys to our success. If that sounds like you, then our client offers the opportunity to learn, grow, and to make a difference in a friendly and welcoming environment.


  • Work closely with business and technical teams to deliver enterprise grade datasets that are reliable, flexible, scalable, and provide low cost of ownership
  • Ensures physical data models align with best practice and requirements
  • Build and maintain raw data pipelines from varied sources
  • Build and maintain the data warehouse pipelines
  • Updates and creates azure pipelines to support our continuous deployment model
  • Recommend ways to improve data reliability, efficiency and quality
  • Analyzes and estimates feasibility, costs, time, and resources needed to develop, and implement enterprise datasets as needed
  • Research opportunities for data acquisition and new uses for existing data
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with Enterprise Architecture to publish and contribute to architecture standards and roadmaps
  • Achieves and maintains relevant technical competencies and helps to foster an environment of continued growth and learning among colleagues on existing and emerging technologies

Desired Skills/Experience:

  • Bachelor's Degree in Computer Science or related field 
  • 5 years relevant experience of development using integration platforms
  • Recent experience using cloud data engineering toolsets
  • Recent experience in Azure using Azure Data Factory, Azure Databricks and Snowflake
  • Minimum of 2 years experience building database tables and models
  • Must be able to write TSQL for DDL and DML operations fluently
  • Strong understanding of enterprise integration patterns (EIP) and data warehouse modeling
  • Experience with development and data warehouse requirements gathering, analysis and design
  • Possess strong business acumen and consistently demonstrates forward thinking