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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 Time
Applications close: 29 Nov 2024 AUS Eastern Daylight Time
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