Data Services Specialist
at QBE Insurance Group Limited
Sydney, New South Wales, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 21 Sep, 2024 | Not Specified | 22 Jun, 2024 | N/A | Python,Power Bi,Sql,Bamboo,Confluence,Programming Languages,Communication Skills,Graph Databases,Data Engineering,R,Jira,Github,Microsoft Sql Server,Mongodb | No | No |
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Employment Type:
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Description:
Responsibilities:
As team embarks on being modernised to cloud technologies (Azure, Databricks) and deliver future ready data foundation, this exciting opportunity to join our Data services team has become available. In this role, you would work with a highly skilled team of data designers, business analysts and delivery managers to design and deliver best in class data architecture, and data products on new age cloud technologies.
Primary responsibilities include:
- Design and development of data engineering assets and scalable feature engineering frameworks to support various Business Unit’s data demands and internal data science activities.
- Code, test, and document new or modified data models and ETL tools to create robust and scalable data assets for reporting and analytics.
- Deploying data assets to production and providing L3 support on assets in production.
- Expand and increase data platform capabilities to resolve new data problems and challenges by identifying, sourcing, and integrating new data.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Peer review code and promote dev ops culture within data services team and implement solutions where needed.
- Define and build the data pipelines that will enable faster, better, data-informed decision-making within the business.
- Build ADF framework to support Data Migration to Azure Cloud technologies and deliver new projects as per new target architecture within Azure data cloud service.
- Develop ETL solutions on Python, Databricks, Spark, Microsoft Azure Technology Stack to load data across multiple sources into the Data and Analytics platform.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
Proficient
1
Sydney NSW, Australia