Data Engineer - Microsoft Fabric

Description :

Job Title : Data Engineer & Microsoft Fabric Developer

Location : HYD, IND

Job Type : Contract

Key Responsibilities :

Data Engineering & Platform Optimization :

- Architect high-performance pipelines across structured and semi-structured data.

- Implement streaming/event-driven ingestion frameworks where applicable.

- Build Data Pipelines from various data sources such as Caseware, HubSync, iManage, XCM, CCH, SAP etc.

- Establish enterprise data quality controls and reconciliation frameworks.

- Optimize computing, storage, and cost efficiency across cloud platforms.

- Implement DevOps automation for data engineering assets.

- Lead architecture reviews and performance tuning initiatives.

Fabric Development :

- Lead the design, development, and optimization of Data Pipelines, and semantic models using best practices.

- Architect and implement data engineering using Microsoft Fabric (Lakehouse, Data Warehouse, One Lake) and Microsoft Azure Data Factory.

- Build and optimize enterprise semantic models, KPIs, and complex DAX calculations for performance and scalability.

- Implement row-level security (RLS), object-level security, and workspace governance standards.

Data Integration & Sources:

- Design and manage data ingestion pipelines from multiple sources, including :

- Relational databases (SQL Server, Azure SQL, Synapse)

- Cloud storage (ADLS Gen2, One Lake)

- REST APIs / Web APIs / SaaS application APIs

- Work with Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory for ETL/ELT processes.

- Ensure data quality, validation, and refresh reliability across batch and near real-time datasets.

Qualifications & Experience :

Required :

- 7 to 10 years of experience in Business Intelligence / Analytics / Data Engineering.

- Extensive hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, One Lake, and Data Pipelines.

- Deep hands-on expertise in :

a. Microsoft Fabric

b. Azure Data Factory / Synapse / ADLS2

- Proven experience integrating data from REST APIs and external application APIs into BI and analytics platforms.

- Expertise in :

a. Dimensional modeling

b. Lakehouse architecture

c. SQL optimization

d. Delta handling & incremental loads

- Enterprise security frameworks

- Experience with CI/CD pipelines for Power BI and data assets using Azure DevOps or GitHub.

- Excellent communication and client-facing skills, including interaction with senior stakeholders.

Preferred :

- Exposure to AI/ML-enabled analytics within Fabric or Azure ecosystem.

- Microsoft certifications : Power BI, Fabric, Azure Data Engineer, or Azure Solutions Architect.