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Data Systems Architect
1 week ago
Melbourne, Australia | Minutes to Seconds is a dynamic organization specializing in outsourcing services, digital marketing, IT recruitment, and custom IT projects. We partner with SMEs, mid-sized companies, and niche professionals to deliver tailored solutions.
We are seeking a Data Engineer to play a key role in the migration of our client's reporting platform, focusing on back-end systems and data infrastructure. You will be responsible for ensuring seamless data integration, optimizing large-scale data processing, and building robust, scalable data pipelines to support various applications across the organization.
This role requires close collaboration with cross-functional teams to develop high-performance data systems that empower business users with actionable insights. You will drive innovation in data engineering processes, optimize workflows, and maintain data integrity throughout the platform migration.
About the RoleWe need a skilled Data Engineer who can design and implement efficient data pipelines, ensuring timely and accurate data delivery for business intelligence tools. You will work closely with stakeholders to understand data needs and develop structured semantic models that align with business objectives and reporting requirements.
Your responsibilities include:
- Collaboration: Work closely with stakeholders to understand data needs and design efficient data solutions for integration across multiple applications.
- Semantic Model & KPI Definitions: Develop and maintain a structured semantic model, ensuring KPIs align with business objectives and reporting requirements.
- Platform Migration: Support back-end migration efforts by ensuring data pipelines, storage solutions, and processing systems transition smoothly without business disruptions.
- Data Pipeline Development: Design, build, and optimize scalable data pipelines to ensure timely and accurate data delivery for business intelligence tools.
- System Optimization: Continuously monitor and enhance back-end systems, databases, and workflows for high performance and cost efficiency.
- Data Integration: Ensure seamless integration of structured and unstructured data from various sources into centralized platforms for comprehensive analysis and reporting.
