Database Administrator (hybrid

Information Technology / Telecommunications Database Administrator (hybrid)

• Temp Project

14835

Estimated Duration: 12 months with possible extensions
Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work. This is a non-negotiable requirement from the client.
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you’re interested, we’d be happy to represent you throughout the hiring process.

• Availability to work 100% of the time at the Client’s site in Tallahassee, FL.
• Experience working with various database management systems in database design, testing, implementation, maintenance and administration in a multiple platform environment (3+ years).
• Experience with Designing, developing, enhancing, supporting, and maintaining enterprise data solutions, including data architecture, data modeling, data quality, data integration, and reporting solutions supporting complex business applications.
• Experience with Relational database design, SQL development, database administration, and performance optimization using MySQL and Oracle, including schema design, SQL tuning, indexing, data integrity, and database security.
• Experience with Developing and implementing data quality processes, including data profiling, data validation, data cleansing, data reconciliation, integrity checks, and establishing data quality standards and controls.
• Experience with Designing and supporting data integration solutions involving MySQL, Oracle, and other enterprise database platforms, including ETL/ELT processes, data migration, data exchanges, APIs, and middleware.
• Experience with Database development, administration, monitoring, and Dev Ops tools, including MySQL tools, Oracle SQL Developer, Azure Dev Ops, and Git Hub.
• Experience with Implementing database security, access controls, governance practices, and compliance requirements.
• Experience with Cloud-based data platforms and services, including Oracle cloud technologies, Microsoft Azure data services, Amazon Web Services (AWS), cloud databases, data lakes, and data warehouses.
• Experience with Data architecture, data modeling, database design, data governance, data management, and data lifecycle principles.
• Experience with Query optimization, indexing, stored procedures, and performance tuning across MySQL, Oracle, and Microsoft SQL Server.
• Experience with ETL/ELT processes, APIs, web services, JSON/XML data exchange, middleware, and system integration.
• Experience with Database security principles, access controls, cybersecurity best practices, and regulatory requirements.
• Experience with Modern data platforms and architectures, including cloud databases, data lakes, data warehouses, No
  
  SQL databases, and vector databases.
• Experience with Cloud computing and cloud-based data services, including Microsoft Azure, Amazon Web Services (AWS), and Oracle cloud technologies.
• Bachelor’s Degree in Computer Science, Information Systems, or other related field, or equivalent work experience.

• Experience with Microsoft SQL Server, Azure SQL, or comparable relational database platforms.
• Experience with Evaluating, integrating, or developing solutions using Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent document processing, embeddings, vector databases, and No
  
  SQL databases.
• Experience with Data architecture, data governance, cloud technologies, and modern data platforms.

• Manage and maintain all production and non-production databases.
• Responsible for standards and design of physical data storage, maintenance, access and security administration.
• Perform backup and recovery on Database Management Systems, configure database parameters, and prototype designs against logical data models.
• Define data repository requirements, data dictionaries and warehousing requirements.
• Optimize database access and allocate/re-allocate database resources for optimum configuration, database performance and cost.
• Support and enhance enterprise data solutions, including data modeling, database design, data migration, data validation, data quality management, data integration, and performance optimization across various database platforms.
• Focus on data architecture, data quality, data integration, database administration, data analysis, and reporting solutions supporting circuit courts.