Database Engineer jobs in Albany, NY

Position: Database Administrator

Location: Washington Ave, Albany, NY, 12207

Pay Rate: $50 to $55 per hour

Schedule: 8.5 hour days (including a 1/2 hour lunch) within the 7:00a - 5:00p daily time frame

Due Date: May 2nd, 2024

Description: The Database Administrator role supports crucial initiatives benefiting New York State Higher Education Services (HESC) within the ITS/HESC project portfolio. This position supplements the GLP DB staff for governor initiatives resulting from the 2024 NYS Budget, impacting HESC’s Grants and Scholarship programs.

Mandatory Qualification:

• Utilizes specialized software for data storage, organization, capacity planning, configuration, database design, migration, performance monitoring, security, troubleshooting, backup, and data recovery.
• Expertise with 84 months of experience, providing guidance to large teams or possessing extensive industry experience.

Requested Qualifications:

1. 84 months of experience in designing and developing logical and physical data models, and creating DDL scripts.
2. 84 months of experience in designing and developing Data Conversion Strategy Plans and Data Mapping Documents.
3. 84 months of experience writing complex DML SQL against enterprise SQL Server and DB2 databases.
4. 84 months of experience working with tools like SQL Server Management Studio, SSMS Job Scheduler, SSIS, SSRS, etc.
5. 84 months of experience using programming languages such as SQL, PL/SQL.
6. 60 months of experience in performance tuning complex SQL against enterprise SQL Server and DB2 databases.

Responsibilities:

• Build and maintain data architecture based on requirements.
• Design and develop Logical and Physical Data Models, and create DDL scripts.
• Write complex SQL queries and DML scripts.
• Collaborate with project managers, architects, developers, and QA for quality assurance.
• Performance tuning SQL queries.
• Work with NYS Agency representatives for gap analysis and understanding business rules.
• Provide guidance for developing and maintaining queries.
• Create documentation on data models and data usage in application process flow.