Job Description:

About the Role:

We are looking for a skilled and motivated Microsoft Fabric Engineer with 5+ years of experience in data engineering, cloud analytics, and modern data platform development. The ideal candidate should have hands-on experience with Microsoft Fabric, Azure data services, ETL/ELT development, and enterprise analytics solutions.

The candidate will be responsible for developing, implementing, and supporting scalable data engineering and analytics solutions while collaborating with cross-functional teams to deliver business-driven insights and cloud-based data platforms.

Key Responsibilities:

- Develop and maintain data pipelines and ETL/ELT workflows using Microsoft Fabric and Azure services.

- Build and support Lakehouse, Data Warehouse, and analytics solutions within Microsoft Fabric.

- Work with business analysts, architects, and stakeholders to understand data and reporting requirements.

- Implement data ingestion, transformation, and orchestration processes for structured and unstructured data sources.

- Develop scalable and optimized data models for analytics and reporting.

- Support Power BI reporting and dashboard integration with Microsoft Fabric.

- Monitor and optimize data workflows, pipeline performance, and system reliability.

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

- Ensure data quality, governance, security, and compliance standards are maintained.

- Troubleshoot and resolve data integration and platform-related issues.

- Prepare technical documentation, mapping documents, and operational procedures.

- Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Roles and Responsibilities:

Required Skills & Experience:

- 5+ years of experience in Data Engineering, BI Development, or Cloud Data Platforms.

- Hands-on experience with Microsoft Fabric and Azure data ecosystem.

Strong experience with:

1. Microsoft Fabric

2. OneLake

3. Fabric Data Factory

4. Fabric Data Warehouse

5. Fabric Data Engineering

6. Power BI

7. Lakehouse Architecture

Experience with Azure services such as:

1. Azure Data Factory (ADF)

2. Azure Synapse Analytics

3. Azure SQL

4. Azure Storage

5. Azure DevOps

- Strong knowledge of SQL and data transformation techniques.

- Experience with Python, Spark, or PySpark is preferred.

- Understanding of ETL/ELT concepts and data integration frameworks.

- Good understanding of data warehousing and dimensional modeling concepts.

- Experience in performance tuning and optimization of data pipelines.

- Knowledge of CI/CD and DevOps practices is preferred.

- Strong analytical and problem-solving skills.

- Good communication and stakeholder interaction abilities.

Preferred Qualifications:

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

- Microsoft Azure or Microsoft Fabric certifications preferred.

- Experience working in Agile/Scrum delivery models.

- Exposure to enterprise analytics and reporting environments.

Soft Skills:

- Strong communication and collaboration skills

- Good analytical and troubleshooting abilities

- Ability to work independently and within teams

- High ownership and accountability

- Adaptability in fast-paced project environments

Nice to Have:

- Experience with real-time analytics and streaming data

- Exposure to AI/ML or advanced analytics projects

- Knowledge of data governance and security frameworks

- Experience with API integrations and cloud-native architectures

- Exposure to multi-cloud platforms suchs as AWS or GCP