Description
The role designs, implements, and maintains data pipelines for ingestion, processing, and transformation using Azure services such as Data Factory, Synapse, Databricks/Spark, Polars/Pandas, and Fabric. It also covers data validation, cleansing, scalability, monitoring, observability, and resolution of pipeline issues. The position requires Python and SQL proficiency, data design and warehousing knowledge, relational and NoSQL database experience, ETL/ELT expertise, event-driven architecture exposure, and Agile working knowledge. Benefits include a competitive salary package, share plan, bonuses, hybrid work, flexible hours, and global wellbeing and development programmes.
