Data Engineer – Azure Data Factory and SQL Database Expertise

Data Engineer – Azure Data Factory and SQL Database Expertise

Sydney

Job Description: Data Engineer – Azure Data Factory and SQL Database Expertise

We are seeking a skilledData Engineerwith expertise in Microsoft Azure Data Factory (ADF) and SQL Database to join our dynamic team. The ideal candidate will have a strong background in Data Warehousing, ETL/ELT processes, and building robust data pipelines on Azure cloud platforms. This role is critical to ensuring efficient data modeling, integration, and transformation processes to support business operations and decision-making.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes usingAzure Data Factory (ADF)and other Azure cloud services.
• Write and optimizeT-SQL proceduresfor querying, data transformation, and validation in a Data Warehouse environment.
• Develop and maintainmetadata-driven data load frameworksfor automated processing.
• Implement dynamic data masking and ensure data security withinAzure SQL Databases.
• Perform data modeling to support Data Warehousing and Data Mart architecture.
• Collaborate with stakeholders to gather requirements and provide technical solutions that meet business needs.
• Ensuredata quality checksand implement quality management processes.
• Contribute toCI/CD pipeline implementation and managementusing Azure DevOps.
• Maintain repository management usingGit version control.
• Engage inpeer programmingand contribute to agile project delivery.
• Work withAzure FunctionsandLogic Appsto extend data integration capabilities.
• 5+ yearsof experience as a Microsoft Azure Cloud ADF Data Engineer, including T-SQL in a Data Warehouse environment.
• Solid understanding ofData Warehousing and Data Mart Architectureson Azure Cloud.
• Proficiency inSQLfor data querying, transformation, and validation.
• Experience in building metadata-driven frameworks for automation on Azure.
• Strong knowledge ofdata security practicesand dynamic data masking in Azure SQL Database.
• Hands-on experience withAzure Data Lake, Azure SQL Database, Azure Functions, and Logic Apps.
• Minimum3 yearsof experience in design and build using an agile delivery framework.
• Familiarity withpeer programmingpractices.
• Knowledge ofSPSS programming language.
• Experience in theTransport Safety industry(highly beneficial).
• Proficiency withCI/CD pipelinesin Azure DevOps and version control with Git.
• Agile Scrum Masterexperience (optional but advantageous).
• Strong communication skills for engaging business and technical stakeholders.

Qualifications and Skills

• Expertise indata engineering technologiesincluding data extraction, integration, and transformation.
• In-depth knowledge ofdata modelingand working with various file types, databases, and APIs.
• Hands-on experience withdata quality management processes.