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Developer, Data Engineer
3 months ago
You will be a key to the management and development to the University's Data Infrastructure. Creating automated data pipelines that ETL to and from disparate data systems.
• Information Technology Services – Ballarat or Berwick Campus
• Full-time, fixed-term appointment until December 2024
• HEW 7 - $97,371 p.a. plus up to 17% superannuation
Position closing date: 23/06/2024
Ranked number one university in Australia for First Generation Student Enrolments (Good Universities Guide 2022) and with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing lifelong learning, skills, and research locally, regionally, and globally.
With University and TAFE campuses in Ballarat, Berwick, Gippsland, and the Wimmera we are positioned to provide pathways from vocational education and skills training through to higher education.
About the role
Ensure ongoing management and development of the University's Data Infrastructure by managing data pipelines and software platforms.
You will:
- develop and manage our data infrastructure systems;
- analyse data to design relatable data models for the data warehouse;
- create data assets and support data consumers who use them;
- monitor and ensure data pipelines are working reliably and effectively; and
- ensure system processes, procedures and code are documented, source controlled and kept up to date.
About you
To be considered for this position, you will have demonstrated:
- experience in data management or integration, analysing data asset requirements and developing complex data pipelines;
- ability to write and optimise complex SQL queries and create efficient data extract/transform/load (ETL) programs and tasks;
- design skills and a high level of expertise in complex systems analysis, problem solving and design for development of solutions; and
- ability to read, contribute to and produce accurate and relevant documentation and code.
Applicants are required to submit a resume and suitability statement addressing the below four questions.
Question 1
Describe your approach to developing automated ETL data pipelines especially where querying with SQL is required.
Question 2
Explain your understanding of the practice of Data Management and how it provides business value?
Question 3
What are your favourite data tools and how do you apply them in a data warehousing or modelling scenario?
Question 4
What do you understand metadata to be and why is it important to manage it?
View position description
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