Data Systems Architect
4 weeks ago
About UniSuper
We are a leading superannuation fund, striving to deliver exceptional retirement outcomes to our members.
The Role
We are seeking an experienced Data Engineer to join our team, working on a modern data platform to build and maintain efficient data pipelines and data assets.
Key Responsibilities
- Implement data cleaning and transformation logic within Databricks using dbt core, Spark SQL, Python following medallion architecture principles.
- Collaborate with data analysts, data scientists, data stewards, and data modellers to understand business needs and translate them into technical efficient data models.
- Develop and maintain data models in gold layers using dbt Core to create consumable datasets for reporting and analysis.
- Implement best practices for data Security, governance, and scalability within the data pipelines.
About You
We are looking for an individual with experience in fast-moving transformation environments, comfortable working with a degree of ambiguity.
- Experience as a Data Engineer or a similar role in a mature data warehouse environment.
- Proven commercial experience with cloud-based platforms, preferably Microsoft Azure and Databricks.
- Experience in building and maintaining data pipelines using tools like Azure Data Factory (ADF) and FiveTran.
- Proficient in data modelling concepts and experience with dbt core.
- Commercial experience working with Delta Lake on Databricks for reliable data storage and efficient data processing.
- Familiar with medallion architecture for data warehousing.
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