Azure Data Engineer

Role : Azure Data Engineer Location:Sydney **Experience:** 1. 5\+ years of hands\-on experience in Data Engineering, Data Warehousing, or a related data\-focused role 2. Proven experience designing, developing, and maintaining scalable data pipelines and data integration solutions. 3. Hands\-on experience with Microsoft Azure data platform services, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL. 4. Experience with SQL, data modelling, performance tuning, and database optimisation. 5. Experience supporting data quality, validation, monitoring, and troubleshooting activities 6. Experience developing solutions using Python, PySpark, or Scala. 7. Experience with data governance, security, privacy and compliance requirements. **Skills:** · Strong analytical and critical thinking skills · Strong problem\-solving and root cause analysis capabilities · Ability to analyse complex datasets and identify data issues and improvement opportunities. · Ability to manage multiple tasks and deliver high\-quality solutions within deadlines. · High attention to detail and ability to assess evidence quality · Clear and effective written and verbal communication · Strong organisational and time management skills · Ability to engage and influence stakeholders at various levels · Ability to work independently and manage multiple controls simultaneously · Experience working in Agile and Scrum environments. **Knowledge:** · Strong knowledge of data engineering principles and modern data platform design. · In\-depth understanding of Microsoft Azure data services, including Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL. · Knowledge of Microsoft Fabric and modern analytics platforms. · Knowledge of data ingestion frameworks and event\-driven architectures. · Knowledge of data warehousing concepts, dimensional modelling, Lakehouse architecture, and data lifecycle management · Understanding of business intelligence (BI) and reporting solutions, including Power BI · Knowledge of the Banking, Financial Services, and Insurance (BFSI) sector. · Exposure to Microservices and API **Qualifications:** · Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline · Proven experience as a Data Engineer on Cloud or similar role. · Strong proficiency in SQL and data modelling concepts. · Experience with DevOps practices, CI/CD pipelines, and source control tools such as Git and Azure DevOps. · Relevant certifications (desirable but not mandatory): . Microsoft Certified or similar