Position : MS Fabric Solution Engineer

Experience : 5+ Years

Location : Noida(Hybrid)

Job Description :

MS Fabric Solution Engineer

Key Responsibilities :

- Lead the technical design, architecture, and hands-on implementation of Microsoft Fabric PoCs. This includes translating business needs into effective data solutions, often applying Medallion Architecture principles within the Lakehouse..

- Develop and optimize ELT/ETL pipelines for diverse data sources:

- Static data (e.g., CIM XML, equipment models, Velocity Suite data).

- Streaming data (e.g., measurements from grid devices, Event Hub and IoT Hub).

- Seamlessly integrate Fabric with internal systems (e.g., CRM, ERP) using RESTful APIs, data mirroring, Azure Integration Services, and CDC (Change Data Capture) mechanisms.

- Hands-on configuration and management of core Fabric components: OneLake, Lakehouse, Notebooks (PySpark/KQL), and Real-Time Analytics databases.

- Facilitate data access via GraphQL interfaces, Power BI Embedded, and Direct Lake connections, ensuring optimal performance for self-service BI and adhering to RLS/OLS.

- Work closely with Microsoft experts, SMEs, and stakeholders.

- Document architecture, PoC results, and provide recommendations for production readiness and data governance (e.g., Purview integration).

Required Skills & Experience :

- 5-10 years of experience in Data Engineering / BI / Cloud Analytics, with at least 1-2 projects using Microsoft Fabric (or strong Power BI + Synapse background transitioning to Fabric).

Proficient in :

- OneLake, Data Factory, Lakehouse, Real-Time Intelligence, Dataflow Gen2

- Ingestion using CIM XML, CSV, APIs, SDKs

- Power BI Embedded, GraphQL interfaces

- Azure Notebooks / PySpark / Fabric SDK

- Experience with data modeling (asset registry, nomenclature alignment, schema mapping).

- Familiarity with real-time streaming (Kafka/Kinesis/IoT Hub) and data governance concepts.

- Strong problem-solving and debugging skills.

- Prior experience with PoC/Prototype-style projects with tight timelines.

Good to Have :

- Knowledge of grid operations / energy asset management systems.

- Experience working on Microsoft-Azure joint engagements.

- Understanding of AI/ML workflow integration via Azure AI Foundry or similar.

- Relevant certifications: DP-600/700 or DP-203.

- OneLake, Data Factory, Lakehouse, Real-Time Intelligence, Dataflow Gen2

- Ingestion using CIM XML, CSV, APIs, SDKs

- Power BI Embedded, GraphQL interfaces

- Azure Notebooks / PySpark / Fabric SDK

- Experience with data modeling (asset registry, nomenclature alignment, schema mapping).

- Familiarity with real-time streaming (Kafka/Kinesis/IoT Hub) and data governance concepts.

- Strong problem-solving and debugging skills.

- Prior experience with PoC/Prototype-style projects with tight timelines.

Good to Have :

- Knowledge of grid operations / energy asset management systems.

- Experience working on Microsoft-Azure joint engagements.

- Understanding of AI/ML workflow integration via Azure AI Foundry or similar.

- Relevant certifications: DP-600/700 or DP-203.