Azure Data Engineer (26-05876) -

Job Description

Job Requirements We are seeking a highly skilled Data Engineer to engineer and deliver domain-aligned data products within a centrally governed Microsoft Data Platform.Working within established standards, CI/CD templates, and defined data contracts,the Data Engineer will modernize SQL-driven legacy workloads and re-engineerthem into scalable Spark-based Lakehouse datasets and semantic models.

The focus is on execution

extracting embedded business logic from on-prem SQLsystems, implementing robust data pipelines, and delivering reliable, high-qualitydata products that support analytics, reporting, and AI use cases.Data products are treated as managed assets — version-controlled, tested,monitored, and continuously improved to meet defined quality and performanceexpectations.Key ResponsibilitiesSQL Modernization & Legacy Refactoring? Maintain and enhance existing SQL Server workloads (stored procedures,views, ETL processes).? Design and optimize semantic models in Fabric for enterprise analytics.? Engineer star schemas and dimensional models for high-performance PowerBI reporting.? Refactor legacy SSAS logic into scalable semantic layers.? Ensure validated KPIs and business rules are consistently implemented.? Balance performance, usability, and maintainability in semantic design.Data Product Ownership? Engineer data products that are reliable, discoverable, and consumptionready.Core skills and knowledge ? 7+ years of hands-on experience in data engineering within SQL-heavy orenterprise data environments.? Hands-on experience with Spark (PySpark preferred) for distributed datatransformation, Python notebooks.? Solid understanding of dimensional modeling, including star schema andKimball-based methodologies.? Experience in Azure Data Factory, Databricks, MS Fabric, ADLS Gen2 ,Databricks , Spark , Airflow, purviewDesirable Skills ? Any financial services / banking / capital market experienceLeadership andCommunication Skills? Excellent facilitation and presentation skills with the ability to lead architectureforums and stakeholder meetings.? Strong influencing skills to drive adoption of architectural standards and moderntechnologies.Preferred Qualifications ? Microsoft certifications (Azure Data Engineer, Fabric).? Experience in distributed data processing environments..Work Experience 7-10Years