Senior Data EngineerIppon Technologies · Melbourne

Senior Data Engineer

🗓️ Posted 2022-11-15 Melbourne Hybrid ICT
💰 Salary Not shared 📊 Market A$8,500–A$11,500/mo

About the Company

To discover our latest Success Story, please click here "Learn more" USING OUR COLLECTIVE ENERGY FOR POSITIVE TECHNOLOGY Ippon is a consulting and expertise firm, who is convinced that technology is a source of progress for society. We help our clients leverage their digital assets to design an appropriate strategy and deploy their transformation roadmap at scale. Product Data Cloud & DevOps Software Engineering STRATEGY Design your organization's strategy and deploy your roadmap at scale to deliver value expected by the market. TECHNOLOGY We rely on powerful technology platforms to drive innovation and modernization. TRANSFORMATION Accelerating digital transformation for your organization by applying adapted support methodologies. IT Services and IT Consulting Specialties: Java, Scrum, Agile, Cloud, Spring, Digital, Application, Javascript, Big Data, Ux, Coaching Agile, DevOps, Product Ownership, Mobile, Fullstack, JHipster, Software Craftsmanship, Agile Delivery, Design, Data, Modern Architecture, Software, Serverless, Design de roadmap, Portfolio management, Accompagnement stratégique, Artificial Intelligence

Responsibilities

  • ● Ippon Australia is a team of true technologists who leverage contemporary thinking and tools to enhance the way our clients drive value. Whether it's a bespoke platform to improve employee engagement within a national retail chain, or developing an app that provides next level direct customer interaction; value is delivered to our clients when we begin by understanding the business outcomes they desire and then apply our technical expertise to make these a reality.
  • ● As a Senior Data Engineer, you will be working along side of our clients and be involved in supporting and/or driving the design, build, testing and implantation of data transformation of data pipelines using various tools and technologies. Gathering business requirements by engaging in data sourcing, data gathering and integration processes, as well as developing data pipelines using Big Data technologies.