Data Engineer
3 days ago
Job Description
Senior Data Engineer Azure, Airflow & PySpark
We're hiring a Senior Data Engineer (69 years of experience) to lead the modernization of our data ecosystem from legacy platforms (Azure Synapse, SQL Server) to a next-gen Microsoft Fabric lakehouse. If you bring deep Azure expertise, strong Airflow orchestration skills, and at least 4 years of hands-on PySpark experience, this role is for you.
Key Responsibilities
- Drive the migration of data pipelines and stored procedures into Microsoft Fabric using PySpark, Delta Lake, and OneLake.
- Build and orchestrate scalable workflows with Apache Airflow and Azure Data Factory (ADF).
- Redesign and optimize legacy ADF pipelines for seamless Fabric integration.
- Develop star schema (dimensional) models to improve reporting and analytics performance.
- Enforce data governance, security, version control (Git), and CI/CD best practices.
- Partner with business stakeholders, architects, and analysts to deliver high-quality, trusted data solutions.
- Support Power BI integration, semantic modeling, and performance tuning in a Fabric-first environment.
Requirements
- 4+ years hands-on experience with PySpark for data engineering and transformations.
- Proven expertise in Azure Synapse, SQL Server, ADF, and Microsoft Fabric.
- Strong background in Apache Airflow, Delta Lake, OneLake, T-SQL, and KQL.
- Solid experience with dimensional modeling, governance frameworks, and Azure data security.
- Proficiency in DevOps pipelines, Git, and automated deployment practices.
Nice to Have
- Experience modernizing ETL/ELT workloads into Fabric and lakehouse architectures.
- Microsoft Azure certification (e.g., DP-203).
- Advanced Power BI skills (DAX, MDX, DirectLake, Tabular Editor, ALM Toolkit, DAX Studio, etc.).
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