Senior Database Administrator

Cynet Systems•Ocoee, FL

About The Position

Responsible for creating, managing, and maintaining key performance indicators (KPIs) and metrics. Supports the Roadside Toll Systems Team through report generation, creation of new alerts, database migrations, vendor build deployments, hardware replacements, SQL distributor maintenance, and roadside replication support. Works with the monitoring operation center and other SLAM team members to oversee and monitor third-party patching, perform deep-dive data analysis, and develop Power BI reports. Supports databases across multiple platforms and computing environments in collaboration with other teams. Analyzes data requirements, application and processing architectures, data dictionaries, and database schemas, then designs, develops, amends, and optimizes them to meet system requirements. Gathers, analyzes, and normalizes information about business processes, functions, and operations to evaluate data credibility and determine relevance and meaning.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience.
  • At least 5 years of IT work experience in database administration (DBA), SQL procedural code and design, and relevant computing environments.
  • Versatility in Oracle Procedural Language (PL-SQL) and Microsoft SQL (Transact-SQL).

Responsibilities

  • Create, manage, and maintain key performance indicators (KPIs) and metrics.
  • Generate reports and create new alerts.
  • Perform database migrations, vendor build deployments, hardware replacements, SQL distributor maintenance, and roadside replication support.
  • Work with the monitoring operation center and SLAM team members to oversee and monitor third-party patching.
  • Conduct deep-dive data analysis and develop Power BI reports.
  • Support databases across multiple platforms and computing environments.
  • Analyze data requirements, application and processing architectures, data dictionaries, and database schemas; design, develop, amend, and optimize them to meet system requirements.
  • Gather, analyze, and normalize information about business processes, functions, and operations to evaluate data credibility and determine relevance and meaning.
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