Workday Data Conversion Developer

• Guide functional leads through mapping, pre validation, and post validation activities.
• Interpret mapping activities into crosswalks and manifest data specification for both source and destination at a field and table level.
• Render technical specifications in extract code in alignment with best practices and performance considerations.
• Participate in peer review of other developer’s extract code and provide actionable, meaningful feedback.
• Deliver extracts for pre-validation on target dates.
• Work with functional lead to review and gain approval on pre-validation and submit extracts on time to the specified extract location.
• After extracts are run in end-to-end environment, work with functional lead to conduct post validation activities.
• Facilitate functional leads and other subject matter experts to log issues (with the appropriate priority) in the conversion bug tracker.
• Resolve issues identified in a prioritized fashion.
• Participate in daily conversion team meetings.
• Follow AMP architectural standards or requirements for change management.
• Liaise with project stakeholders on an ongoing basis. Set and continually manage project expectations with team members and other stakeholders.
• Participate and contribute to AMP project lessons learned reviews, document process strengths and limitations, and create a recommendations report to identify successful and unsuccessful project elements.
• Escalate barriers, issues, risks to the AMP conversion lead clearly and with recommendations for resolution.
• Build, develop, and grow any business relationships vital to the success of the project.
  
   

Other Duties as Assigned (5% of role): 

 

• Participate in appropriate activities that enhance general knowledge of, or ability to do, assigned work.
• Participate in AMP processes and initiatives, including change management, RAID management, etc.
• Other duties as assigned.
  
   

Minimum/Required Qualifications

 

• Bachelor’s degree from an accredited college or university, or equivalent from previous experience.
• Experience building and optimizing relational database queries in SQL.
• Experience with source control systems such as Git, GitHub, SVN, or equivalent.
• Proficiency in PL/SQL or Equivalent Languages
• Strong experience writing efficient data extraction logic using PL/SQL or similar technologies (e.g., Python, SQL*Plus, Oracle SQL Developer, etc.).
• Ability to develop maintainable and high-performance scripts for querying and transforming data.
• Oracle SQL Performance Tuning
• Strong understanding of query optimization techniques, execution plans, and indexing strategies.
• Ability to analyze and improve the performance of large-scale data extraction processes.
• Experience with Oracle Data Extraction and ETL Processes
• Hands-on experience designing and implementing efficient data extraction routines.
• Familiarity with tools and techniques for moving data between Oracle and external systems (e.g., flat files, APIs, or ETL tools like EIBs).
• Four years’ experience writing code project(s) (IT or otherwise).
• Two or more years with FIN/ ERP specific data
• Experience working independently as a developer and in team-oriented, collaborative environments.
• Highly adaptive: can conform to shifting priorities, demands, and timelines through agile, analytical, and problem-solving capabilities.
• Persuasive, encouraging, and motivating.
• Ability to elicit cooperation from a wide variety of sources, including management, clients, and other departments.
• Ability to successfully complete with political sensitivity and tenacity.
• Strong written and oral communication skills. Demonstrable ability to take initiative with questions that clarify ambiguity in software or functional requirements.
• Adept at conducting research into project-related issues and products.
• Ability to effectively prioritize and execute tasks in a high-pressure environment.
• A demonstrable commitment to promoting and enhancing diversity, equity, and inclusion practices. 
  
   

Preferred Qualifications

 

• Bachelor’s degree or higher in Computer Science, Business/Management Information Systems, Engineering, or related field.
• Experience with enterprise-wide reporting projects leveraging both FIN and Grants data in an institutional setting
• Experience performing data conversion from Banner to Workday