Huntington National Bank

Lead Data Engineer

Huntington National Bank

full-time

Posted on:

Origin:  • 🇺🇸 United States • Ohio

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Job Level

Senior

Tech Stack

AWS

About the role

  • Architecting, creating and maintaining data pipelines.
  • Assist with renovating the data management infrastructure to drive automation in data integration and management.
  • Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
  • Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
  • Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
  • Demonstrated ability to communicate complex results to technical and non-technical audiences.
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
  • Strategic, intellectually curious thinker with focus on outcomes.
  • Professional image with the ability to form relationships across functions.
  • Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization.
  • Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
  • Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).
  • Coaches' individuals through change and serves as a role model.
  • Performs other duties as assigned.

Requirements

  • Bachelor's Degree in computer science, statistics, related field, or relevant work experience
  • 7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
  • 7+ years of experience with database programming languages and advanced analytics
  • Master’s degree in computer science, statistics or related field (Preferred Qualifications)
  • Hands-on data testing experience (Preferred Qualifications)
  • Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS)
  • Expert knowledge of BI software tools
  • Expert experience with open-source and commercial data science platforms
  • Learn and/or Agile methodology
  • Strong experience with various Data Management architectures and processes
  • Strong ability to design, build and manage data pipelines for data
  • Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
  • Demonstrated success in working with large, heterogeneous datasets to extract business value
  • Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional teams
  • Willingness and ability to learn new technologies on the job
  • Financial Services Background