Data Operations Engineer

Truist Financial-posted 7 months ago
Full-time • Entry Level
Wilson, NC
5,001-10,000 employees
Credit Intermediation and Related Activities
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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.

  • 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.
  • 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.
  • 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.
  • 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.
  • Leads small data engineering projects with manageable risks and resource requirements; plays significant roles in larger, more complex initiatives.
  • Bachelor's degree and 3 years of experience in development or support or an equivalent combination of education and work experience.
  • In-depth knowledge of data technologies (ETL, Data warehouse, Databases, SAS and other Analytics tools).
  • Strong analytical and critical thinking capabilities and ability to multi-task and work well under pressure.
  • Previous experience in planning and managing IT projects.
  • Knowledge of ITIL process.
  • Bachelor's degree and 6 years of experience in systems engineering or administration or equivalent education and related training or experience.
  • In-depth knowledge of SQL, relational databases, ETL/ELT architecture and concepts, data integration concepts and big data concepts.
  • Previous experience in planning and managing IT projects.
  • Banking or financial services experience.
  • Medical, dental, vision, life insurance, disability, accidental death and dismemberment.
  • Tax-preferred savings accounts.
  • 401k plan.
  • No less than 10 days of vacation during the first year of employment.
  • 10 sick days.
  • Paid holidays.
  • Defined benefit pension plan, restricted stock units, and/or a deferred compensation plan may be available.
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