Senior Data engineer

Position: Senior Data engineer

Location: Columbus, Ohio

Onsite: 4 days a week

Interview process: 1 video interview then onsite panel interview

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 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

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