Microsoft Fabric Developer
Bibha.ai
- Bangalore, Karnataka
- Permanent
- Full-time
- Develop and implement end-to-end solutions using Microsoft Fabric components like OneLake, Lakehouse, and Data Pipelines.
- Design and optimize data models and medallion architecture for analytics and reporting.
- Utilize SQL (T-SQL), PySpark/Python, and DAX to extract, transform, and load data efficiently.
- Build and manage Git-based CI/CD and deployment pipelines for smooth integration and delivery.
- Ensure adherence to security and governance best practices, including RLS/OLS and data sensitivity policies.
- Conduct performance tuning for Direct Lake and Import processes, optimizing partitions and queries.
- Collaborate with cross-functional teams to enhance data flows and reporting capabilities across the organization.
- Stay updated with the latest Microsoft Fabric features and industry trends to continuously improve solutions.
- Assist in documenting processes and providing training to end-users on best practices and system usage.
- 6-9 years of overall experience, with at least 2+ years relevant to Microsoft Fabric.
- Strong expertise in SQL (T-SQL), PySpark/Python, and DAX.
- Thorough understanding of Delta Lake concepts including schema evolution and ACID transactions.
- Experience designing medallion architecture and dimensional data models.
- Proficient in implementing Git-based CI/CD pipelines and deployment using DevOps/GitHub Actions.
- Knowledge of security and governance practices, including workspace roles and capacity management.
- Familiarity with performance tuning techniques specific to Direct Lake and Import scenarios.
- Experience in developing semantic models and working with Power BI for data visualization.
- Understanding of data sensitivity and workplace governance requirements.
- Competitive salary budgeted up to 25 LPA (including variables).
- Flexible working environment and remote work options.
- Comprehensive health insurance plans.
- Opportunities for professional development and certifications.
- Location: Bangalore, Chennai, Noida, Gurgaon, Pune, Ahmedabad, Mumbai