Description

 Key Responsibilities

SQL 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

Key Skills

Education

Any Gradute