Microsoft Fabric Integration: Leverage Microsoft Fabric components (such as Lakehouse, Warehouse
or ML models) to create resilient, standardized data pipelines.
Data Mesh Implementation: Collaborate with cross-functional teams to
implement data mesh principles, including providing best practices and templates for
decentralized data processing taking different data domain skill levels into account.
Data Pipeline Development: Design, optimize, and manage ETL pipelines for ingesting, transforming,
and loading data from various sources according to our standardized medallion architecture
Database Management: Implement and maintain databases (SQL, NoSQL) to store structured and
unstructured data.
Performance Optimization: Optimize data processing performance using Microsoft Fabrics
distributed architecture.
Data Governance and Security: Ensure compliance with data privacy regulations and implement
security measures
- Experience4 - 10 Years
- No. of Openings2
- EducationB.Tech
- RoleData Mesh Engineer
- Industry TypeIT-Hardware & Networking / IT-Software / Software Services
- Gender[ Male / Female ]
- Job CountryIndia
- Job TypeWork from Office