Cloud Data Engineer
Employment Info
JOB DETAILS
Requirements
- Relevant tertiary qualification in information technology, computer science, software engineering, data engineering or a related discipline
- Strong understanding of data engineering fundamentals including ETL and ELT, data transformation, pipeline orchestration, data quality and data serving patterns.
- Hands-on knowledge of Azure data services, Microsoft Fabric, Databricks or similar modern cloud data platforms.
- Proficiency in SQL and experience with Python, Spark or other relevant data engineering languages and frameworks.
- Knowledge of data modelling, metadata, lineage, observability, monitoring and troubleshooting practices relevant to production-grade data solutions.
- Understanding of privacy, security, governance and risk controls relevant to enterprise data engineering
Responsibilities
- Design, build and maintain robust batch and near real-time data pipelines that ingest, transform and publish data for reporting, analytics, operational and AI-enabled use cases
- Build and maintain data transformations that prepare trusted, well-structured and reusable datasets for downstream consumption
- Use modern cloud data tooling across Azure, Microsoft Fabric, Databricks and related services to implement secure, scalable and observable data workflows.
- Embed data quality checks, validation logic, lineage capture and operational controls into pipelines and datasets
- Collaborate closely with architects, platform engineers, analysts, product owners and business stakeholders to shape practical and reusable solutions
Desired Qualifications
- Relevant certifications in Azure, Microsoft Fabric, Databricks or related data engineering technologies are desirable
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