Oracle Developer
Paxus
- Canberra, ACT
- Contract
- Full-time
- 6 month contract with 3 month extension option
- Must be an Australian Citizen with an active Baseline Security Clearance
- Hybrid working arrangement available for this role ( 3 days from office and 2 days WFH).
- Paxus pays weekly.
- Database Development and Maintenance: Develop and maintain robust database systems, including schema design, stored procedures, queries, and scripts for data manipulation and retrieval. Ensure high performance, security, and scalability of database systems.
- Data Integration and ETL Processes: Utilize Oracle Data Integrator (ODI) to design and implement ETL (Extract, Transform, Load) processes that integrate data from various sources into a cohesive and efficient architecture. Optimize data flows to improve performance and reliability.
- Business Intelligence and Reporting: Support the development of reporting and analytics solutions using Oracle Business Intelligence Enterprise Edition (OBIEE). Collaborate with stakeholders to understand their data needs and deliver insightful, actionable reports.
- Cloud Data Management: Leverage cloud technologies for data storage, processing, and analytics. Experience with Oracle Cloud Infrastructure (OCI), and Azure is desirable. Implement and maintain cloud-based data solutions, ensuring they are scalable, secure, and cost-effective.
- Collaboration and Support: Work closely with the Solutions Architect and other team members to support the development and implementation of database routines and data strategies. Provide technical expertise and recommendations to improve program outcomes.
- Technical Expertise: Strong proficiency in Oracle database technologies, SQL, PL/SQL, and experience with Oracle Data Integrator (ODI) and Oracle Business Intelligence Enterprise Edition (OBIEE).
- Cloud Technologies: Experience with cloud platforms such as Oracle Cloud Infrastructure (OCI and Azure Platform). Knowledge of cloud-based data warehousing, ETL, and analytics services is highly desirable.
- Data Modelling: Solid understanding of data modelling concepts and experience designing and implementing relational and dimensional data models.
- Analytical Skills: Ability to analyse complex data sets to identify trends, patterns, and insights. Experience with data visualization tools and techniques is a plus.
- Problem-Solving: Strong problem-solving skills and the ability to troubleshoot issues effectively. Must be able to provide efficient and scalable solutions to meet business needs.
- Communication: Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.