Data Operations Engineer - Contractor

United States

Applications have closed
Quest Analytics is seeking a Data Operations candidate to execute our Data ETL and Ingestion process.

In this role you will:

  • Chaperone data through ETL pipeline including Ruby, Pentaho, and Python tools 
  • Manage variability from incoming datasets and update configurations 
  • Investigate and troubleshoot issues 
  • Update code to fix issues and improve reliability and performance 
  • Answer questions about pipeline processes to other teams (liaison) 
  • Streamline processes to reduce manual steps and time required (automation) 

You will need:

  • Some general engineering work and principles in one or more languages. 
  • Practical experience using Python to analyze and manipulate data. 
  • Some familiarity with Ruby 
  • A reasonable level of professional experience working with Relational Databases and writing SQL 
  • Experience working with Excel 
  • Experience working with various data formats including Excel, CSV and JSON. 
  • Critical thinking and debugging skills. 

  • The candidate should also have an awareness of: 
  • Git 
  • NoSQL Databases such as MongoDB 
  • Interacting with Restful APIs using tools like Postman, a web browser or an IDE like VSCode. 
Job region: North America
Job country: United States
Job stats:  11  2  0

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.