Senior Data Engineer

• Undergraduate qualification in Information Technology, Computer Science or a related discipline
• Minimum 10+ years' experience in Data Engineering, Data Warehousing or Business Intelligence roles
• Experience developing ELT pipelines using Azure Data Factory, Snowflake, Azure Synapse and dbt
• Strong SQL development, data modelling and data warehousing experience, including experience with large and complex datasets
• Experience implementing Lakehouse solutions, Medallion Architecture and enterprise data models
• Experience migrating data from legacy systems and databases to Snowflake, with a strong focus on data quality and integrity
• Strong analytical, problem-solving and end-to-end solution ownership capabilities, including troubleshooting production data pipelines
• Strong stakeholder communication skills and experience translating business requirements into technical solutions and participating in solution design workshops
• Experience using Azure DevOps/Azure Repos for source control, CI/CD and Agile delivery, with a commitment to engineering standards, documentation and continuous improvement
• Demonstrated ability to manage competing priorities and deliver high-quality outcomes while working in a manner consistent with BaptistCare's Christian identity and organisational values

Highly Regarded

• Experience with Snowflake, Azure Data Lake, Microsoft Fabric or similar cloud data platforms
• Experience with dbt, including modular data modelling, testing, documentation and engineering best practices
• Experience with Python and/or other data engineering tools
• Experience with Azure Synapse and modern Azure data services
• Experience developing dimensional data models, semantic layers and curated data products
• Experience with MuleSoft Integration Platform
• Microsoft Azure, Snowflake and/or dbt certifications
• Experience working with healthcare, aged care or community services systems
• Understanding of data governance, metadata management, data lineage, security and data management practices
• Experience working within highly regulated environments

Key Responsibilities

• Design, develop and maintain scalable ELT pipelines and data integration solutions using Azure Data Factory, Snowflake, Azure Data Lake and related technologies
• Ingest and integrate data from enterprise applications, APIs, databases, legacy systems and file-based sources, including migration from on-premises environments
• Build and optimise modern Lakehouse solutions using Medallion Architecture to deliver trusted, reusable and analytics-ready data assets
• Develop and maintain dbt models, dimensional data models, semantic layers and curated data products aligned with business requirements and enterprise standards
• Perform data profiling, cleansing, validation and reconciliation, and implement testing and monitoring to ensure data quality, integrity and reliability
• Take end-to-end ownership of data engineering solutions from requirements gathering and solution design through development, deployment, production support and continuous optimisation
• Monitor, troubleshoot and resolve data pipeline and platform issues, while optimising Snowflake performance, storage utilisation, query efficiency and overall platform reliability
• Apply data governance, security, metadata management, data lineage and documentation practices to ensure trusted, compliant and well-managed enterprise data
• Collaborate with BI Analysts, Data Scientists, business stakeholders, architects and technical teams to deliver fit-for-purpose data solutions and support Agile sprint commitments
• Utilise Azure DevOps and Azure Repos for source control, CI/CD and release management, while contributing to engineering standards, knowledge sharing and continuous improvement

Pay: ₹509,198.26 - ₹1,871,862.38 per year

Experience:

• DATA ENGINEERING : 10 years (Required)

Work Location: Remote