- 8+ years of experience in Data Engineering / Software Development within Agile environments.
- Strong hands-on experience with Python and SQL; Java knowledge is an advantage.
- Proven experience in designing and developing complex data pipelines.
- Solid expertise in Apache PySpark, Azure Synapse, Azure Data Factory (ADF), Azure Functions, ETL pipelines, and data modelling.
- Hands-on experience with SQL and NoSQL databases, including MS SQL, along with Azure Data Lake Storage Gen2 (ADLS Gen2) and cloud-based object storage.
- Experience working with distributed processing systems and clusters for large-scale batch processing.
- Understanding of MLOps architecture and practices.
- Strong knowledge of modern data modelling, data warehousing, and large-scale data architecture.
- Familiarity with Azure DevOps and Git.
- Good understanding of ETL and data warehousing methodologies; Informatica experience is an added advantage.
📌 Azure Databricks (Sydney)
🏢 BULLIT MANAGEMENT SERVICES
📍 Sydney
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