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Senior Enterprise Data Engineer
Ref No.: 18-08605
Location: Atlanta, Georgia
Type/Duration: Permanent, Direct-Hire
Location: Atlanta, GA 30326
 
We are looking for a talented Enterprise Data Engineer/Analyst, with Informatica experience, to join our client’s team in Buckhead, Georgia!
 
This is a Permanent, Direct-Hire position that comes with a competitive Base Salary, Annual Bonus, & Benefits. Interview process will include a phone and a F2F interview.
 
Note: Not open to 3rd party/C2C consultants. This position is only available to those who can work on W2 basis without a sponsored work visa. Visa Sponsorship is not available.
 
Details:
The Enterprise Data Analyst & Data Engineer will analyze, design, build, test, implement and/or maintain multiple system components or applications that supports the company’s Data Strategy and Data Architecture. The incumbent will work across multiple business areas and with multiple technology partners to provision and maintain a data science technology infrastructure used for research and development.
 
The role will work closely with business SMEs, System Administrators and Data Architects to ensure the platform meets business demands.  This role will also be heavily involved in analyzing the data elements from various source systems, EDW and MDM repositories to design and engineer data solutions that can be used by Citizen Data Scientists to target a problem.
 
What you can bring to the table (must-have, required):
 
  • 7+ years IT experience with 5+ years of direct Data Engineering & Analysis experience.
  • 3+ years direct experience utilizing Informatica BDM (Power Center), DQ and other Informatica suite of products.
  • 2+ years of experience of using Python, R, SAS or other analytical tools
  • At least 2 end to end implementation project experience
  • Experience in business and statistical modeling, extracting, transforming and loading the data to fit a machine learning model.
  • Strong database experience, data analysis and analytical skills
  • Deep knowledge of extracting, transforming and loading data from a variety of source systems into an Enterprise Data Lake.
  • Strong critical thinking and problem solving skills
  • Self-starter with a high sense of urgency
  • Bachelor’s Degree in Information Technology or related field