Job description

POSITION TITLE: Data Engineer
DEPARTMENT: Information Technology
POSITION REPORTS TO: Director of Data Product Management

JOIN THE BEST TEAM ON THE FIELD IN SPORT, SPIRIT & ACHIEVEMENT

Are you looking for a place where your daily contributions make a real difference in someone's life? At Varsity Brands we are a growing company where you can lend your skills and talents in support of a greater mission. In return, you get to work with great people on challenging assignments that will accelerate your professional growth.

POSITION PURPOSE:
As a Data Engineer, you will design, build, and maintain data pipelines for optimal extraction, loading and transformation of data from multiple sources. You will be responsible for ensuring orchestrations run without error and data is available for reporting and analysis by data consumers. You will collaborate with project teams to understand integration requirements and build solutions that meet these requirements. You will work closing with architects, developers, and data analysts to design solutions that will deliver the required data needed to build analytic reports and dashboards. As a Data Engineer, you will also ensure legacy integrations are fully functional delivering needed data to applications and other end points throughout the enterprise.

EDUCATION AND EXPERIENCE:

Degree in Mathematics, Engineering, an Information Technology field, or other related field
Demonstrated working knowledge of the enterprise data architecture
Implementation of new data migration and integration solutions for the ERP project
Demonstrated ability to support legacy integrations RESPONSIBILITIES:
Maintain integrations between legacy applications
Support the ERP implementation working with the project team to:
Build new integrations to support the ERP implementation
Build extraction programs to support data migration efforts
Work with Data Team to define and build the architecture and infrastructure required for
Optimal extraction, loading, and transformation of data from a wide variety of data sources
Cleansing & storing data from internal and external sources
Automated anomaly detection
Management of access/entitlements
Assemble large, complex data sets that meet business requirements
Work with project teams to document data requirements and design and build solutions to extract and load needed data to appropriate environments
Leverage existing framework, tools, and architecture to continue enhancements of an enterprise data warehouse
Work with developers to troubleshoot and tune long running queries and inefficient data retrieval
Actively support corporate efforts, policies, and protocols for Security, Information Protection, and Threat Protection

HERFF JONES
Herff Jones is the leading provider of graduation and educational products and services designed to inspire achievement and create memorable experiences for students. Herff Jones' products include class rings and jewelry, caps and gowns, yearbooks, diplomas, frames, announcements and Greek accessories as well as motivation and recognition programs. Since 1920, our team has worked alongside students, faculty and staff on campuses nationwide to help build a stronger community and celebrate student milestones. Our continued success relies on hiring extraordinary talent, with a passion for making a difference and eagerness to roll up the sleeves, to help us write the story of our next 100 years.

Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran's status, age or disability.

Any employment agency, person or entity that submits a resume into this career site or to a hiring manager does so with the understanding that the applicant's resume will become the property of Herff Jones. Herff Jones will have the right to hire that applicant at its discretion without any fee owed to the submitting employee

Job Type: Full-time

Schedule:

• Monday to Friday

Experience:

• Data Engineering: 4 years (Required)
• Azure: 3 years (Required)
• Snowflake: 2 years (Preferred)
• ETL: 2 years (Preferred)

Work Location: Remote

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