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Senior Data Engineer in Raleigh, NC at Vaco

Date Posted: 4/16/2018

Job Snapshot

Job Description

Data Engineers-are you ready to grow your career by applying your database expertise to more complex projects with some of the nation's top companies? Let Vaco serve as your advocate in presenting you to clients who are looking for Senior Data Engineers. Our recruiting staff gives you an advantage over your competition by promoting your strengths and assets directly to hiring managers while helping you to be more prepared for your interviews.

From keeping you up to date on market trends and industry expectations to providing you with valuable insight into the company culture, compensation expectations, and growth opportunities of specific clients, Vaco will give you the edge you need in today's highly competitive job marketplace.

Overview:

  • Improving and maintaining accurate geospatial datasets
  • Developing multithreaded processes to efficiently query, transform, and deliver data, as well as to ingest, transform, and store data
  • Designing and implementing storage for new datasets and the automated data ingestion and/or delivery processes required for them
  • Developing web-based custom data reporting and management applications

Skills and Requirements:

  • 5+ years of solid professional experience in data-driven application development
  • Experience with building high-performance database and ETL applications
  • Strong understanding of database fundamentals, including performance tradeoffs in database and index design
  • GIS familiarity
  • Git proficiency
  • Experience developing multithreaded software

Additional Skills That Would Be Nice To Have:

  • Postgres development experience, with emphasis on PostGIS functionality
  • Experience with AWS cloud architecture, using the CLI and the console
  • Experience with REST
  • Experience working with GO and Java
  • Comfortable working in Linux and with bash shell scripting
  • Experience in the ad tech or ad data industry a plus
  • Experience with Spark or other big data processing tools