Previous Job
Data Engineer
Ref No.: 17-10363
Location: New York, New York
Position Type:Contract
Start Date: 09/14/2017
Title: Data Engineer
Duration: 3 months, 4 hours A Day
Location: Remote
Hourly Rate: Competitive
Start Date: ASAP

My client is in need of a Data Engineer/Data Scientist who will have consulting / customer facing experience. This consultant will need to talk to clients, understand their challenges, collect their input, and then do data analysis.

Duties and Responsibilities
  • Creates sophisticated data solutions to business problems.
  • Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports using team procedures and tool selection guidelines. Ensures that all code is developed in a well structured manner – includes sufficient documentation – and is easy to maintain and reuse.
  • Continues to Client and implement new data sources and data integration techniques that are beneficial to clients who self-provision data.
  • Leads all phases of development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members. Tests code thoroughly for accuracy of intended purpose.
  • Understands and enforces team development guidelines. Mentors staff with less experience. Resolves issues elevated from staff with less experience.
  • Partners with internal clients to enhance understanding of business functions and informational needs. Maintains a broad understanding of Vanguard's technologies, tools, and applications, including those that interface with business area and systems.
  • Undergraduate degree in a related field or the equivalent combination of training and experience.
  • Minimum of five years analyst, developer, or engineer experience
  • Strong SQL and query performance tuning skills.
  • Extensive experience using one or more of the following data sources: Enterprise, Data Warehouse, VAST, VISTA, Adobe or Tea Leaf
  • Traditional reporting, knowledgeable with tableau, incorporate analysis into product offering
  • Move entire infrastructure to AWS; be comfortable with data warehousing
  • Data warehousing - SQL, ETL solutions - pour info from SQL database into AWS cloud data warehouse
  • Analysis - should be able to data mine and pull out insights