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Reference # : 19-226705 Title : Data Warehousing Engineer
Location : Chicago, IL
Position Type : Contract
Experience Level : Start Date / End Date : 05/28/2019 / 05/27/2020  
Description
Do something big and innovative! Stretch your creative muscles and work on big issues.  Since 1989, we have developed technology environments, applications, and tools by providing experienced teams to implement, enhance, and maintain our clients’ essential systems and applications.  Come join the Tech-pro team! 

Job Title: Data Warehouse Engineer
Location: Chicago IL 60607
Duration: 12 months

Job Description:

Responsibilities:
-Design, develop and support data warehouses and reporting.
-Write extract, transform and loads (ETL) to automate routine data collection and reporting processes using a variety of large-scale distributed data systems.
-Write and review end-user documentation and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.
-Acquire log level data; work to aggregate data into tables that you will provide to the wider analyst community
 
Additional responsibilities:
-Influence data infrastructure roadmap
-Work closely with software engineering teams to design and acquire log level data
 
Required Skills:
  • BA/BS degree in CS, EE, Math, Economics or related quantitative field. (In Lieu of degree 5 years of work experience) 1-3 years exp. with degree
  • Must be experienced with SQL languages (Big Query or other columnar databases & SQL).
  • Experience with Unix or GNU/Linux systems including shell or Python scripting
  • Experience writing and maintaining extract, transform, and load scripts (ETLs) which operate on a variety of structured and unstructured sources
  • Coding experience with Java, C++, Python, PHP or similar language.
  • Familiar with regular expressions and data search and extraction
  • Web technology experience: HTML/CSS/JS
 
Nice to have:
  • Master's degree with emphasis on coursework of a quantitative nature (Statistics, Computer Science, Engineering, Mathematics) -Desire to attack and own large, complex problems.
  • Capable of translating analysis results into business recommendations and business questions into -an analysis framework.
  • Experience with Google Systems: PLX, Clarinet, Piper workflow, query, and source control tools
 
Recruiter Name: Jolly Nibu          
Contact Email/ Phone: Jolly.Nibu@tech-pro.com / 480-845-3303
http://www.tech-pro.com