Data Developer

We are seeking a skilled Data Developer to join our team. The ideal candidate will focus on developing and maintaining SSIS and SSRS packages, integrating data between systems, assisting DBAs, and supporting our Master Data Management (MDM) project. A strong understanding of C# is a must.

*Employees may be expected to work hours in excess of their normally scheduled hours in response to short-term department needs and/or emergencies.

Responsibilities:

• Design, develop, and maintain SQL Server Integration Services (SSIS) packages.
  
• Optimize ETL processes to ensure efficient data flow and processing.
  
• Troubleshoot and resolve issues with SSIS packages and data integrations.
  
• Design and develop SQL Server Reporting Services (SSRS) reports.
  
• Ensure reports are accurate, comprehensive, and meet business requirements.
  
• Perform ongoing maintenance and enhancements to existing reports.
  
• Integrate data between various systems, ensuring seamless data flow.
  
• Develop and maintain data mapping and transformation rules.
  
• Collaborate with other teams to understand data requirements and ensure accurate data integration.
  
• Provide support to the Database Administrators in managing and optimizing databases.
  
• Assist in database performance tuning and query optimization.
  
• Support database maintenance tasks, including backups, indexing, and security.
  
• Coding skills in languages such as C#, SQL, ASP.NET, and/or JavaScript.
  
• Assist in developing in-house web applications.
  
• Participate in the Master Data Management project to ensure data consistency and accuracy.
  
• Assist in defining and implementing data governance policies and procedures.
  
• Work on data quality initiatives to cleanse and standardize master data.
  

Qualifications:

• Requires a bachelor’s degree or any equivalent combination of education and experience in computer science or a closely related field.
  
• A minimum of two years experience in software development and engineering.
  
• Coding skills in languages such as SQL, Python, C#, and/or JavaScript.
  
• Analytical and problem-solving skills.
  
• Experience with statistical software (e.g., Stata, SPSS).
  
• Knowledge of data gathering, cleaning, and transforming techniques.
  
• Reporting and data visualization skills using software like Power BI, Tableau, or other BI tools.
  
• Understanding of data warehousing and ETL techniques.
  
• Proficiency in Microsoft Excel.
  
• Ability to QA and troubleshoot data.