KEY RESPONSIBILITIES
1. Data Pipeline Development & Orchestration
- Design, build, and maintain end-to-end data ingestion and transformation pipelines using and Microsoft Fabric. Implement Change Data Capture (CDC) patterns and near-real-time streaming ingestion from ERP, CRM, and operational source systems 2. Power BI Development & DAX
- Develop production-grade Power BI reports and dashboards for business and executive stakeholders. Write performant, maintainable DAX covering time-intelligence, semi-additive measures, and multi-table aggregations. Apply row-level security (RLS) and workspace governance to ensure correct data access at the right granularity. 3. Fabric Lakehouse Architecture & Data Modelling
- Contribute to the design and evolution of the Fabric Lakehouse — OneLake structure, medallion-layer organisation, and Model analytics datasets using star-schema and, where appropriate, wide denormalised structures optimised for Power BI DirectLake mode. Integrate source systems through REST APIs and connector frameworks. 4. AI
- Intelligent Features -Embed Microsoft Copilot capabilities within Fabric and Power BI workflows. Support the development of ML features — demand forecasting, anomaly detection on financial and project data, and natural-language-to-SQL interfaces for self-serve analytics. 5. SQL Optimisation, Data Quality & Platform Reliability Contribute to data quality checks — profiling, anomaly alerts, reconciliation against source systems. Support data catalogue and lineage documentation within the Microsoft Purview ecosystem. 6.



Stakeholder Management & Offshore Delivery Work independently and proactively within an offshore delivery model. Translate requirements from business and technology stakeholders into scoped, deliverable data products REQUIRED QUALIFICATIONS & EXPERIENCE
• 4+ years in data engineering or analytics engineering, with experience on Microsoft Azure or Fabric
• Demonstrable Power BI delivery: DAX, data modelling, RLS governance
• Working knowledge of Python and/or PySpark for data transformation and pipeline logic
• Proficiency in T-SQL — query optimisation, window functions, and data manipulation
• Experience integrating REST APIs or ERP systems (SAP, or equivalent) as data sources
• Familiarity with CDC patterns or streaming architectures (Event Hubs, Kafka, or Fabric Eventstream)
• Hands-on knowledge of star-schema modelling for analytics workloads
• Degree in Computer Science, Information Systems, Data Engineering, or a related field PREFERRED / ADVANTAGE
• Microsoft Fabric certification (DP-600 or equivalent) or demonstrated Fabric project delivery
• Experience with medallion architecture and Delta Lake / Parquet table management
• Exposure to Copilot Studio, Azure OpenAI, or ML model deployment via Azure ML
• Prior experience in real estate, construction, or asset-heavy industries
• Familiarity with Microsoft Purview for governance and cataloguing
• Experience working in an offshore or distributed delivery model
• Git-based deployment and CI/CD for Power BI and ADF artefacts

📌 Data Engineer-Power BI (Hyderabad)
🏢 Latinem Private
📍 Hyderabad