Huntington is looking for a Data Engineer Lead to build and operationalize data for enterprise data and analytics initiatives, improve data pipelines, and ensure data quality.
Requirements
- 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
- 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
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.
- 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.
Other
- 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
