Senior ETL & Data Integration Engineer with agile delivery SAS Oracle - NSW and ACT- Baseline clearance
We are seeking an experienced and driven Senior ETL Data Integration Specialist to join a high-performing data delivery team supporting mission-critical projects in a secure government environment. This role involves working with a wide range of enterprise data technologies delivering impactful data solutions across the full development lifecycle within both Agile (SAFe) and traditional SDLC frameworks.
The successful candidate will have a strong background in SAS Data Integration Oracle and enterprise scheduling tools with the ability to bridge the gap between technical and business requirements in a collaborative fast-paced team environment.
Key Responsibilities
- Develop test and maintain ETL workflows using SAS Data Integration Studio Base SAS IBM LSF Flow and Oracle databases.
- Design and implement batch schedules and data pipelines in accordance with enterprise data architecture and governance standards.
- Work through the System Development Life Cycle (SDLC) and Agile (SAFe) delivery practices to meet stakeholder requirements.
- Collaborate closely with business and technical stakeholders to translate requirements into actionable data integration solutions.
- Conduct data profiling mapping and analysis to support data quality migration remediation and reporting initiatives.
- Prepare and maintain detailed documentation including technical design mapping specifications and deployment plans.
- Proactively identify opportunities to improve performance reliability and maintainability of ETL processes.
- Manage and prioritise workload independently ensuring timely and accurate delivery of key project deliverables.
Criteria
- 5 years of demonstrated experience in:
- SAS Data Integration Studio Base SAS IBM LSF Flow
- Working with Oracle databases or similar RDBMS
- Proven delivery capability across the full SDLC and Agile (SAFe) environments.
- Strong knowledge of ETL and batch scheduling practices data acquisition frameworks and enterprise-grade data processing.
- Strong interpersonal communication and stakeholder engagement skills across technical and non-technical audiences.
- Ability to self-manage tasks work under minimal supervision and deliver to deadlines in a high-pressure environment.
- Bachelors degree in Information Technology Computer Science or equivalent professional experience.
- Experience working with Enterprise Data Warehouses (EDW) Microsoft SQL Server Hadoop Cognos Qlik or other BI/reporting tools.
- Demonstrated leadership traits through ownership of complex data integration challenges and mentoring team members.
- Experience driving business change through proactive solutioning and data-driven insight delivery.
- Strong hands-on experience with data migration remediation integration and metadata management.
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