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Flexible working Locations of Melbourne, Brisbane or Sydney
Implement and maintain Datawarehouse platform and data pipelines
As a Senior Data Engineer in the Insurance and Enterprise Technology (IET) domain, you will offer strong leadership and drive the technical vision and capability of the Data Warehousing Chapter. This will be achieved through your superior skills in design, development, implementation and maintenance of a unified data platform in Databricks to meet the technology needs of the Groups.
What you'll do
Implement and maintain Datawarehouse platform and data pipelines suitable for Data Warehousing and reporting use cases
Build data assets that are aligned to IET data strategy and architectural roadmaps
Promote and champion Data Platform and Engineering ways of working via continuous build, continuous integration and continuous delivery
Support detailed solution design, data modelling, estimation and specification process
Promote test driven development and automated unit test frameworks within the teams
Promote and champion DevOps (CI/CD) practices using Bitbucket and Jenkins
Coordination of deployment and release activities for the team
Develop data engineering standards, implementation patterns and how-to guides
Challenge the development team on their delivery of quality, unit test coverage and assistance in the creation of development artefacts
Contribute to risk analysis and utilise that information to plan development activities
Identify technical and process improvements that will benefit the business
Optimising code and ensuring we are getting the best out of the Data Platform
Foster a safe, innovative and results driven culture
What you'll bring
Tertiary qualification in Computer Science, or Information Technology
Minimum 6 years' experience within Data Engineering with minimum 2 years in a similar role
Strong experience working in Data Warehousing and Data Analytics projects including data acquisition, data transformation, and data migration projects
Strong experience in SQL and Redshift
Experience in developing and optimising data pipelines using control-m and sql
Experience in data migration, building, enhancing and maintaining cloud data warehousing
Experience in performance tuning and optimising databases and SQL queries for analysis and reporting
Ability to rapidly acquire an understanding of complex business problems/requirements to develop solutions and designs
Strong skills and experience in cloud environments, especially AWS
Experience supporting high availability production systems is desirable
Experience with Databrick, DBT, Python and Pyspark is preferable but not mandatory
Comfortable working within conceptual, logical and physical data model following Data Vault 2.0 and Kimball data modelling methodologies
What we can offer
A range of flexible working and leave options, including 20 weeks paid parental leave, 4 weeks paid secondary carer parental leave and unlimited paid emergency response leave
Discounts and offers on a range of retail favourite stores as well as insurance products
Give back to our communities with payroll giving, donation matching and paid volunteer leave
Invest in your brighter future with ongoing study support and career development programs
Prioritise your work/life balance with our robust employee assistance program and dedicated employee council
At Suncorp, we believe we are our best when our workforce is as diverse, talented and passionate as the communities in which we live and operate, and where our people feel included, valued and connected.
If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact ****** for a confidential conversation.
Advertised: 04 Nov 2024 AUS Eastern Daylight TimeApplications close: 29 Nov 2024 AUS Eastern Daylight Time
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