• Will be responsible for providing all activities related to the administration of computerized databases. • Project long-range requirements for database administration and design in conjunction with other managers in the information systems function. • Design, create, and maintain databases in a client/server environment. • Conduct quality control and auditing of databases in a client/server environment to ensure accurate and appropriate use of data. • Advise users on access to various client/server databases. • Design, implement, and maintain complex databases with respect to JCL, access methods, access time, device allocation, validation checks, organization, protection and security, documentation, and statistical methods. • Apply knowledge and experience with database technologies, development methodologies, and front-end/back-end programming languages (e.g., SQL). • Perform database programming and supports systems design. • Provide maintenance of database dictionaries, overall monitoring of standards and procedures, file design and storage, and integration of systems through database design.

Role Description We are looking for a highly experienced Oracle Property Graph Database Specialist with 7–10+ years of experience in Oracle technologies and advanced data modeling. The ideal candidate will be responsible for designing and implementing graph-based data models aligned with complex network architectures. This role requires deep expertise in Oracle Database along with hands-on experience in graph technologies to enable relationship-driven analysis, network insights, and high-performance data processing. Key Responsibilities - Design and develop scalable graph data models (nodes, edges, properties) based on network architecture and system relationships - Implement and manage Oracle Property Graph solutions within the Oracle Database ecosystem - Convert relational and network data into graph structures for advanced analytics - Develop and optimize graph queries using PGQL (Property Graph Query Language) - Analyze and interpret network topology, connectivity, and dependencies using graph techniques - Collaborate with data architects, DBAs, and application teams to integrate graph solutions - Ensure performance tuning, scalability, and efficient data processing for large graph datasets - Support data migration, transformation, and validation processes - Provide technical guidance and best practices for graph-based implementations Qualifications - 7–10+ years of strong experience in Oracle Database development and administration - Hands-on experience with Oracle Property Graph and related tools (Graph Server, Graph Studio) - Strong expertise in SQL, PL/SQL, and Oracle data architecture - Proven experience in data modeling, including translating relational models into graph models - Experience working with network-based data structures (telecom, infrastructure, or similar domains) - Strong understanding of graph concepts such as traversal, pathfinding, and relationship analysis - Ability to design efficient and scalable graph schemas Salary Best market rate

• Data Pipeline Execution (ETL): Build, manage, and monitor efficient ETL/ELT pipelines to consolidate data from multiple production AWS PostgreSQL instances into Snowflake for analytics and reporting. • Advanced Query Auditing & Performance Tuning: Continuously audit SQL queries across our production systems. Diagnose complex bottlenecks, rewrite sub-optimal queries, optimize indexes, and tune database configurations to ensure peak platform speeds. • Database Operations & Maintenance: Oversee the day-to-day health, backup strategies, security compliance, and scaling of our PostgreSQL (AWS RDS/Aurora) and Snowflake environments. • Query Best Practices & Collaboration: Partner with Software Engineers to review database schemas and queries before they hit production, acting as a trusted advisor on SQL best practices. • Troubleshooting & Optimization: Serve as the senior escalation point for database performance issues, ensuring minimal downtime and high availability for our core SMS services.

• Data Pipeline Execution (ETL): Build, manage, and monitor efficient ETL/ELT pipelines to consolidate data from multiple production AWS PostgreSQL instances into Snowflake for analytics and reporting. • Advanced Query Auditing & Performance Tuning: Continuously audit SQL queries across our production systems. Diagnose complex bottlenecks, rewrite sub-optimal queries, optimize indexes, and tune database configurations to ensure peak platform speeds. • Database Operations & Maintenance: Oversee the day-to-day health, backup strategies, security compliance, and scaling of our PostgreSQL (AWS RDS/Aurora) and Snowflake environments. • Query Best Practices & Collaboration: Partner with Software Engineers to review database schemas and queries before they hit production, acting as a trusted advisor on SQL best practices. • Troubleshooting & Optimization: Serve as the senior escalation point for database performance issues, ensuring minimal downtime and high availability for our core SMS services.