You will be a key to the management and development to the Universitys 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 July ****
HEW 7 - $****** p.a. plus up to 17% superannuation
Position closing date : **************
Ranked number one university in Australia for First Generation Student Enrolments (Good Universities Guide ****) 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 Universitys 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.
How to apply
Please apply by Sunday 5 October ****
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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Key Skills
Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala
Employment Type :
Full-Time
Experience :
years
Vacancy :
1
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