Data Engineer
Job description
Position: Data Engineer
Location: Sydney
Contract: 6+ Months and Extendable
Must Have Skills:
Strong hands-on experience with PySpark for large-scale data processing and transformations Solid experience in Azure Data Factory (ADF) for building, scheduling, and monitoring data pipelines Proficient in SQL and relational database concepts Strong understanding of ETL/ELT pipelines, data warehousing, and data integration patterns Experience working with Azure cloud data services (ADLS Gen2, Azure SQL, Synapse preferred)
Nice to Have Skills:
Experience with Databricks and Spark optimization techniques
Exposure to DevOps / CI-CD pipelines for data engineering workflows
Familiarity with Python scripting beyond PySpark Experience working in Agile/Scrum environments Knowledge of data governance, data quality, and monitoring frameworks
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