Senior Database Migration Analyst

Cynet Systems - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

Professional, Scientific, and Technical Services

About the position

The Senior Database Migration Analyst will be responsible for analyzing and executing the migration of DB2-LUW data to a PostgreSQL environment. This role is crucial for ensuring data integrity and quality throughout the migration process, involving the development of data migration strategies and the creation of complex SQL scripts for ETL processes. The analyst will collaborate with Application Development SMEs to ensure proper data mapping and optimization of the ETL process, while also maintaining documentation on a SharePoint site.

Responsibilities

• Perform analysis to migrate DB2-LUW data to a PostgreSQL environment.
• Plan, execute, and validate data migration to ensure data integrity.
• Develop and execute data migration strategies, including data cleansing and validation processes.
• Create complex SQL scripts and stored procedures for ETL processes.
• Work with Application Development SMEs to ensure proper data mapping.
• Optimize the ETL process for efficiency.
• Maintain documentation and status updates on a SharePoint site.

Requirements

• Bachelor's degree in a related field from an accredited college or university AND four years of related experience OR a Master's degree.
• Two years of experience at the lower-level Database Migration Analyst position equivalent.
• Five years of experience with data migration processes.
• Five years of experience with SQL and creating stored procedures.
• Three years of experience with a relational database, such as DB2 or SQL Server.
• One year of experience with PostgreSQL.
• One year of experience with DBeaver Tool or IBM Data Studio.
• One year of experience with Erwin Data Modeling Tool.
• One year of experience with Microsoft Windows Server.

Nice-to-haves

• Experience with Extract, Transform and Load (ETL) tools such as SQL Server Integration Services (SSIS) and DB2-LUW export utilities.
• Strong knowledge of Unemployment Insurance (UI) Benefits and Tax.
• Strong knowledge of data mapping processes and best practices.