Senior Data Engineer

Senior Data Engineer

Location: Columbus, Ohio - need local Onsite: 4 days a week Contract: 6 months extendable (could go perm)

Duties and Responsibilities:

• Architecting, creating and maintaining data pipelines.
• Assisting with renovating the data management infrastructure to drive automation in data integration and management.
• Working in partnership with data science teams and business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
• Training 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.
• Working with data governance teams and participating 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 or related field
• 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
• 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
• 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