Job description

Description Summary: The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools, as well as, being interested in leading and developing current team members, while also serving as a technical leader. This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. This role will also test for data quality to ensure Huntington’s data conforms to business rules and is accurate, complete, consistent, and uniform. Duties and Responsibilities: 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. Basic Qualifications: 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 Preferred Qualifications: Master s degree in computer science, statistics or related field Hands on data testing experience Demonstrated success working with data preparation tools 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 Exempt Status: (Yes not eligible for overtime pay) ( No eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington s Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Requirements

Must-haves

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).

Nice-to-haves

Master s degree in computer science, statistics or related field
Hands on data testing experience
Demonstrated success working with data preparation tools
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsagile

Platform: workday
Effort: long