Data Operations Engineer

Role: Data Operations Engineer

Location: Atlanta, GA or Charlotte, NC

Duration: Full Time

Primary Purpose: Responsible for building, optimizing, and maintaining the data pipelines and aiding in building the data ecosystem for delivering enterprise data for wide consumption including developing data models, corresponding data architecture documents and API's.
RESPONSIBILITIES:
1. Builds, manages, and implements the data and/or Big Data pipeline capabilities including data modeling, process design and overall data pipeline architecture and all phases of the ETL (extract, transform, and load) processes.
2. Drives efforts related to partially to completely automate repeatable data preparation and integration tasks. Partner with technology teams to understand data capture, testing needs, and to build and test end-to-end solutions.
3. Analyzes information to determine business needs from requests and implement effective technical solutions by providing problem analysis and resolution in a timely manner and explain and interpret complex, difficult, or sensitive information.
4. Takes a new perspective on existing solutions to solve problems of moderate to high complexity and exercise judgment based on the analysis (e.g. modeling, testing, etc.) of multiple sources of information.
Qualifications:
In-depth knowledge of data technologies (ETL, Data warehouse, Databases, SAS and other Analytics tools)
Previous experience in planning and managing IT projects