Hybrid Oracle PL/SQL DB Engineer - Remote-friendly

Pivotal Solutions

Pittsburgh (Allegheny County)

Hybrid

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Pivotal Solutions in Pittsburgh, PA, seeks an Oracle PL/SQL Database Software Engineer to design, develop, and maintain a data management platform. The role emphasizes large-scale OLTP systems and security, with leadership across the SDLC.

Responsibilities include developing Oracle PL/SQL and T-SQL procedures, Unix scripts, C applications, and providing DBA services across projects, with a strong focus on data processing streams and data warehouse delivery.

Qualifications

  • Four-year degree in Computer Science/IT or equivalent.
  • Minimum eight years IT experience in systems analysis and programming.
  • Experience with Oracle and SQL Server DB design and administration.
  • Experience with large OLTP and data warehouse environments.

Responsibilities

  • Develop SQL Oracle PL/SQL procedures and packages
  • Develop Unix Shell scripts
  • Develop Transact-SQL procedures and packages
  • Develop and maintain applications written in C
  • Provide Oracle DBA and SQL Server DBA services for projects
  • Design, implement and maintain data processing streams and database architectures
  • Assure efficient data flow and tune queries
  • Hybrid in-office and remote work with Pittsburgh region relocation as needed

Skills

Oracle PL/SQL
SQL Server
UNIX Shell Scripting
C
Data Warehousing
SDLC
Performance Tuning
Communication

Education

Bachelor's degree in Computer Science/IT or related field

Tools

OracleDB
Visual Source Safe
JIRA

Job description

Pivotal Solutions in Pittsburgh, PA, seeks an Oracle PL/SQL Database Software Engineer to design, develop, and maintain a data management platform. The role emphasizes large-scale OLTP systems and security, with leadership across the SDLC.

Responsibilities include developing Oracle PL/SQL and T-SQL procedures, Unix scripts, C applications, and providing DBA services across projects, with a strong focus on data processing streams and data warehouse delivery.

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