Senior Data Platform Engineer

2 weeks ago

Sydney, New South Wales, Australia Ambition Full time

Data Engineering Expertise

  • Data Platform Development
    • Design, implement, and maintain a robust data platform on Databricks, supporting the ingestion, storage, transformation, and processing of large volumes of data from various sources.
  • Cloud Data Solutions
    • Design and develop Azure cloud data products (Data warehousing, data integrations, dashboards etc.) to enhance data services.
  • Advanced Data Workflows
    • Leverage Databricks' capabilities to enhance data workflows, implementing advanced features and automations to support predictive modeling and machine learning.
  • Quality and Support
    • Gather, document, and clarify requirements; design solutions; develop code using Microsoft BI stacks; test and support UAT; monitor product functionality.
  • Process Improvement
    • Improve the data product development and support process through automation, including access requests, data refreshes, releases, source control, and knowledge management.
  • Quality Assurance
    • Ensure functional and non-functional quality through data profiling, automated and manual tests, and performance testing.

Key Skills

  • Proficiency in SQL, Python, and PySpark for data processing and transformation.
  • Proven track record in using Databricks for data engineering, including cluster management, Delta Lake, and other Databricks-specific features.
  • Devops: Experience automating aspects of product development and support such as automated releases and calling API's.
  • Experience with cloud platforms (AWS, Azure, or GCP) and associated data services.
  • Excellent communication and collaboration skills, with the ability to convey technical concepts to non-technical stakeholders.

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