Job description :

Role Overview :

We are seeking a highly experienced Senior Microsoft Fabric Engineer with 8+ years of experience in enterprise data engineering, cloud analytics, and modern data platform implementation. The ideal candidate should possess strong expertise in Microsoft Fabric, Azure data services, enterprise data architecture, and large-scale analytics solutions.

The candidate will be responsible for designing, developing, optimizing, and managing scalable data and analytics platforms using Microsoft Fabric while supporting enterprise-wide digital transformation and data modernization initiatives.

Key Responsibilities :

- Design, develop, and implement enterprise-scale data engineering and analytics solutions using Microsoft Fabric.

- Build and manage scalable Lakehouse, Data Warehouse, and real-time analytics solutions.

- Develop and optimize data pipelines, ETL/ELT frameworks, and data integration workflows.

- Work closely with architects, business stakeholders, analysts, and engineering teams to deliver data-driven solutions.

- Implement end-to-end data solutions leveraging Microsoft Fabric components including OneLake, Data Factory, Data Engineering, and Power BI.

- Design robust data models and data transformation frameworks for structured and unstructured datasets.

- Develop and maintain enterprise-grade data ingestion, transformation, and orchestration pipelines.

- Optimize data processing performance, scalability, reliability, and cost efficiency.

- Implement data governance, data quality, security, and compliance standards.

- Support real-time analytics, streaming, and advanced reporting requirements.

- Collaborate with DevOps and infrastructure teams for CI/CD implementation and deployment automation.

- Troubleshoot complex data platform and integration issues.

- Perform code reviews, architecture reviews, and technical mentoring for junior engineers.

- Prepare technical documentation, solution design documents, and operational runbooks.

- Drive best practices for cloud-based data engineering and enterprise analytics.

Roles and Responsibilities :

Required Skills & Experience :

8+ years of overall IT experience with strong expertise in data engineering and analytics platforms.

Strong hands-on experience with Microsoft Fabric and Azure data ecosystem.

Expertise in :

1. Microsoft Fabric

2. OneLake

3. Fabric Data Factory

4. Fabric Data Engineering

5. Fabric Data Warehouse

6. Real-Time Analytics

7. Power BI Integration

8. Lakehouse Architecture

Strong experience with Azure technologies including :

1. Azure Data Factory (ADF)

2. Azure Synapse Analytics

3. Azure Databricks

4. Azure Storage

5. Azure SQL

6. Azure DevOps

- Strong proficiency in SQL, Python, Spark, and data transformation techniques.

- Experience with large-scale ETL/ELT pipeline development.

- Strong understanding of data warehousing, dimensional modeling, and medallion architecture.

- Experience in building scalable cloud-native analytics platforms.

- Knowledge of CI/CD, DevOps practices, and Infrastructure as Code (IaC).

- Strong understanding of data governance, data lineage, and security best practices.

- Experience in performance tuning and optimization of data workloads.

- Excellent analytical, troubleshooting, and problem-solving skills.

- Strong communication and stakeholder management capabilities.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or related field.

- Microsoft Azure and Microsoft Fabric certifications preferred.

- Certifications in Data Engineering, Power BI, or Cloud Architecture are an added advantage.

- Experience working in Agile/Scrum environments.

- Experience handling enterprise-scale data transformation programs.

Soft Skills :

- Excellent communication and presentation skills

- Strong leadership and mentoring abilities

- Ability to work in fast-paced enterprise environments

- High ownership and accountability mindset

- Strong collaboration and teamwork skills

- Strategic and solution-oriented thinking

Nice to Have :

- Experience with AI/ML and advanced analytics platforms

- Exposure to GenAI and AI-driven analytics solutions

- Experience with streaming technologies and real-time processing

- Knowledge of enterprise reporting and dashboarding solutions

- Exposure to multi-cloud data platforms such as AWS or GCP