Fabric Data Engineer

Fabric Data Engineer-3-5 years-REMOTE

We are looking for an experienced Fabric Data Engineer to develop, manage and optimize data pipelines and data transformation workflows using Microsoft Fabric. The role involves working with data integration, ETL/ELT processes, SQL, Python and PySpark to build scalable and reliable data engineering solutions.

Your Future Employer A leading technology organization focused on data engineering, analytics and AI-driven solutions, offering opportunities to work on modern data platforms and scalable data engineering projects.

Responsibilities

1. Develop, manage and optimize data pipelines and notebooks using Microsoft Fabric.
2. Implement data integration, ETL/ELT workflows and data transformation processes.
3. Work with Fabric Lakehouse, Data Warehouse, OneLake and Delta tables.
4. Develop and manage Fabric notebooks using Python, PySpark and Dataflows Gen2.
5. Write complex SQL queries and optimize data processing and database performance.
6. Apply database design, data modelling and data warehousing best practices.
7. Implement data quality checks, monitor pipeline execution and troubleshoot failures.
8. Collaborate with cross-functional teams to deliver scalable and reliable data engineering solutions.

Requirements –

1. 3–4 years of experience in data engineering, with hands-on exposure to Microsoft Fabric.
2. Strong experience in developing and managing data pipelines, notebooks and data transformation workflows.
3. Proficiency in SQL, including complex queries, joins, aggregations and query optimization.
4. Good understanding of database design, data modelling and data warehousing concepts.
5. Experience with data integration, ETL/ELT processes and pipeline orchestration.
6. Working knowledge of Python and PySpark for data processing.
7. Understanding of data quality, pipeline monitoring and performance optimization.
8. Hands-on experience with Fabric Lakehouse, Notebooks and Dataflows Gen2 is preferred.
9. Familiarity with Fabric Warehouse, OneLake and Delta tables is an advantage.
10. Exposure to Git, version control, CI/CD practices and Power BI is an added advantage.

What is in it for you –

• Opportunity to work with Microsoft Fabric and modern data engineering technologies.
• Hands-on exposure to scalable data pipelines and data transformation solutions.
• Opportunity to strengthen expertise in SQL, Python, PySpark and cloud-based data platforms.
• Work on challenging data engineering projects in a collaborative environment.
• Opportunities for continuous learning and professional growth.

**Reach us –**If you think this role aligns with your career aspirations, kindly write to [email protected] along with your updated CV for a confidential discussion about the role.

**Disclaimer –**Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

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