IT Senior Software Engineer, Data Conversion

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Job description

Join our team to be a part of the exciting transformation as we migrate UMD computing systems to a modern cloud-based solution. The Senior Software Engineer, Data Conversion will use various technologies to migrate data from legacy systems to the Workday platform as part of the Workday Student implementation. The position is hands-on, agile, team-based development as well as providing leadership, mentoring, and coaching to less experienced engineers. The Senior Software Engineer produces and reviews documentation and requirements, leads code reviews and design meetings, and participates in defining software engineering process and methodology.

This position is considered an essential position and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergencies to help maintain continuity of University services

Minimum Qualifications:

Education: Bachelor's degree from an accredited college or university.

Experience: 5-7 years of professional experience supporting the operations, maintenance, and administration of information technology infrastructure.

Other: Additional work experience as defined above may be substituted on a year-for-year basis for up to four (4) years of the required education.

Knowledge, Skills, and Abilities:

Strong written and oral communication skills.

Ability to to lead presentations with small to medium sized groups.

Able to organize and provide direction to junior staff members.

A demonstrated commitment to customer service.

Provides leadership and helps bridge the gap between team manager and team members

on technical topics.

Ability to effectively manage workload and delivery assignments on time.

Skilled in the use of office productivity software such as Office 365 or Google Workspaces.

Preferences:

Experience with ETL platforms like Informatica/Fabric/Datastage.

Experience with SQL and Python.

Experience using AWS for data applications (e.g. S3, Redshift).

Experience with Oracle.

Ability to conduct research and data analysis.

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