Cloud Data Engineer
Woolpert
AzureCloudJavaScriptPythonSQLTableau
Lead Data Engineer
Huntington National Bank
full-time
Posted on:
Location: Ohio • 🇺🇸 United States
Visit company websiteJob 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
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