Senior Oracle Analytics Server; OAS) Administrator​/BI & Data Engineer

International Logic Systems, Inc. (ILS) is seeking an experienced Senior Oracle Analytics Server (OAS) Administrator / BI & Data Engineer with strong experience in OAS administration, enterprise reporting, ODI, Oracle SQL/PLSQL, data engineering, automation, and reporting modernization. This position requires in-office presence two days per week at our headquarters (Fairfax, VA 22033), so candidates must be local to the DC Metro area.

• Strong hands‑on experience with Oracle Analytics Server (OAS) 8.2 / 7.6 on Linux.
• Experience with OAS RPD, dashboards, analyses, reports, and BI Publisher (BIP).
• Experience automating backup/recovery of RPD, catalog, dashboards, reports, and BIP artifacts.
• Strong Oracle SQL/PLSQL, including packages, procedures, and SQL performance optimization.
• Hands‑on experience with Oracle Data Integrator (ODI) 12.2.1.4, including interfaces/mappings, packages, scenarios, and troubleshooting.
• Strong understanding of data engineering, ETL/ELT, data pipelines, data integration, and data warehouse concepts.
• Experience with Linux shell scripting and automation.
• Experience in enterprise reporting modernization and migration of legacy reporting solutions.
• Experience with or understanding MCP Server / Model Context Protocol in on‑premises environments.
• Strong production support, troubleshooting, and problem‑solving skills.

• Database Administration Oversee the installation, configuration, maintenance, and upgrades of Oracle databases (latest versions) on various operating systems.
• Performance Tuning Utilize tools like AWR, ADDM, and SQL tuning to monitor and enhance database performance and optimize SQL queries.
• Backup and Recovery Implement and maintain robust backup and recovery strategies using RMAN and Oracle Data Pump to ensure data integrity and availability.
• High Availability and Disaster Recovery Configure and manage Oracle Data Guard, RAC, and other high availability solutions to ensure minimal downtime.
• Security Management Ensure database security in compliance with industry standards; manage user access, roles, and privileges.
• Database Monitoring Use Oracle Enterprise Manager and other monitoring tools to proactively identify and resolve database issues.
• Database Development Support Assist developers with database design, efficient SQL coding, and data loading processes.
• Automation and Scripting Develop and maintain automation scripts for routine database maintenance tasks using Shell scripting or PL/SQL.
• Documentation Maintain accurate documentation for database configurations, processes, and changes.
• Incident Management Quickly troubleshoot and resolve complex database issues, ensuring minimal impact on production.
• Experience Minimum of 10 years of experience as an Oracle DBA, with expertise in managing Oracle 12c, 19c, and newer versions. Experience with SQL Server or DB2 is a plus.
• Certification Current Oracle Database Administration certification (e.g., Oracle Certified Professional [OCP] on Oracle Database 19c or 21c).
• Education Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Proficient in Oracle tools such as Oracle SQL
  * Loader, SQL Developer, Oracle Data Pump, RMAN, Oracle Grid Infrastructure (ASM), and Oracle Enterprise Manager (OEM 13c or higher).
• Experience with Oracle RAC, Data Guard, and ASM for high availability.
• Strong understanding of database security, backup, and recovery best practices.
• Proficiency in scripting languages like Shell and PL/SQL.
• Performance Tuning Advanced knowledge of performance tuning methodologies using tools like STATSPACK, AWR, ADDM, and TKPROF.
• Analytical Skills Excellent problem‑solving skills and ability to perform root cause analysis for performance or system issues.
• Communication Skills Strong communication skills for working with cross‑functional teams and documenting technical processes.

• Web Logic Server administration.
• OAS security, LDAP/SSO, and performance tuning.
• REST APIs / Python automation.
• Git / CI‑CD / Dev Ops.
• Data modeling, data quality, lineage, and governance.
• AI/LLM integration with enterprise data and analytics.