MS Fabric Engineer (India)

MS Fabric Engineer (India)

03 Sep
|
Lister Digital
|
India

03 Sep

Lister Digital

India

About This Role

5 to 10 years of experience
Skills: GCP, ETL, PowerBI, deltalake

Job Title - MS Fabric Engineer

Experience – 5 to 10 Yrs

Work Location – Bangalore, Hyderabad, Gurugram and Chennai

Mode of Employment – Contract (6 Months)

Role Overview

The MS Fabric Engineer will design, build, and manage the Microsoft Fabric (OneLake) data platform for a leading Telecom domain project. This role focuses on creating scalable data pipelines, enabling analytics, and supporting reporting across multiple customer segments.

Key Responsibilities

- 1. Data Platform Development

- Develop and implement MS Fabric / OneLake architecture
- Build and manage Lakehouses, Warehouses, and Data Pipelines
- Develop scalable data models for analytics and reporting

- 2. Data Integration

- Ingest data from GCP (BigQuery, Kafka pipelines) into MS Fabric
- Build robust pipelines using Azure Data Factory / Fabric pipelines
- Ensure data quality, lineage, and audit readiness

- 3. Collaboration & Data Exposure

- Work with API (DxL/Node.js) teams to define data contracts
- Support structured datasets for downstream consumption
- Align data models with reporting and API requirements
- Validate data integrity with each of the source systems before downstream consumption.

- 4. Reporting Enablement





- Enable Power BI datasets and semantic models
- Optimize performance (DirectLake / Import modes)
- Support reporting teams with data models and DAX guidance

- 5. Data Modeling & Security

- Build segment-specific data models (SMB, Managed Services, etc.)
- Maintain consistent business logic and data definitions

- 6. Platform Operations & Governance

Ensure CI/CD deployments across environments (Dev

- Prod)
- Implement and own monitoring, governance, and data quality checks

Core Skills & Experience

Must Have:

- 4+ years in Data Engineering (MS Fabric / Azure Data Factory / Synapse)

- Strong SQL and PySpark / Spark SQL skills

- Experience with Data Lakes, Lakehouse architecture, and pipelines

- Exposure to GCP (BigQuery integration)

- Strong Power BI semantic modeling knowledge

Valuable to Have:

- Kafka or streaming data experience
- Node.js / API data exposure experience
- Microsoft Fabric or Azure certifications
- Experience in billing/telecom/data-heavy domains

Tech Stack

- Core: MS Fabric, OneLake, Symantic model in Power BI
- Data: GCP (BigQuery), Kafka
- Engineering: Azure Data Factory, PySpark, SQL, Delta Lake
- Integration: Node.js, REST APIs

Apply now

📌 MS Fabric Engineer (India)
🏢 Lister Digital
📍 India

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