Senior Azure Data Engineer – Databricks -Sydney Only

Senior Azure Data Engineer-Databricks Experience:8+Years Technology Focus: Azure | Databricks | PySpark | Python | SQL | Data Engineering Role Overview We are looking for an experienced Senior Azure Data Engineer / Lead with 8+ years of software/data engineering experience and strong expertise in Azure, Databricks, Python, SQL and Apache Spark. The ideal candidate will have hands-on experience designing and developing complex data pipelines, distributed data processing solutions, ETL frameworks and large-scale data platforms within Agile environments. Key Responsibilities & Requirements 8+ years of experience in software/data engineering and development, preferably within Agile environments.Strong hands-on expertise in Python and SQL; Java experience is an advantage.Design, develop and optimize complex data pipelines and ETL workflows.Strong experience with Apache PySpark, Databricks, Azure Synapse, Azure Data Factory (ADF) and Azure Functions.Hands-on experience with data modelling, data warehousing and large-scale ETL architectures.Experience working with MS SQL, ADLS Gen2 and NoSQL/data storage technologies.Good understanding of object storage and Big Data architectures, particularly Azure Data Lake Storage Gen2.Experience managing and optimizing distributed systems and clusters for large-scale/batch data processing.Knowledge of MLOps architecture and practices.Strong understanding of modern data modelling concepts and enterprise data warehouse architecture.Familiarity with Azure DevOps, Git and modern CI/CD practices.Good knowledge of ETL and data warehousing methodologies.Informatica experience is an advantage.Ability to work closely with architects, developers, data teams and business stakeholders in an Agile environment.