Overview
We are seeking a Microsoft Fabric Data Engineer with 7+ years of experience for a lead role. The ideal candidate will be responsible for designing, developing, and deploying data pipelines, ensuring efficient data movement and integration within Microsoft Fabric.
Responsibilities
- Design, develop, and deploy data pipelines within Microsoft Fabric, leveraging OneLake, Data Factory, and Apache Spark to ensure efficient, scalable, and secure data movement across systems.
- Architect and implement ETL workflows optimized for Fabric’s unified data platform, streamlining ingestion, transformation, and storage.
- Build and manage integration solutions that unify structured and unstructured sources into Fabric’s OneLake ecosystem. Utilize SQL, Python, Scala, and R for advanced data manipulation.
- Leverage OneLake as the single data lake for enterprise‑scale storage and analytics, integrating with Synapse Data Warehousing for big data processing and reporting.
- Partner with Data Scientists, Analysts, and BI Engineers to ensure Fabric’s data infrastructure supports Power BI, AI workloads, and advanced analytics.
- Monitor, troubleshoot, and optimize Fabric pipelines for high availability, fast query performance, and minimal downtime.
- Implement governance and compliance frameworks within Fabric, ensuring data lineage, privacy, and security across the unified platform.
- Lead and mentor a team of engineers, oversee Fabric workspace design, code reviews, and adoption of new Fabric features.
- Automate workflows and orchestration using Fabric Data Factory, Azure DevOps, and Airflow, ensuring smooth operations.
- Document Fabric pipeline architecture, data models, and ETL processes. Contribute to Fabric engineering best practices and enterprise guidelines.
- Stay current with Fabric’s evolving capabilities such as Real‑Time Analytics, Data Activator, AI integration and drive innovation within the team.
Qualifications
7+ years of experience in data engineering, with a strong focus on Microsoft Fabric and related technologies.
Required Skills
- Proficiency in SQL, Python, Scala, and R.
- Experience with data pipeline development and ETL processes.
- Strong understanding of data governance and security practices.
- Ability to lead and mentor a team effectively.
Preferred Skills
- Experience with Azure DevOps and Airflow.
- Familiarity with Power BI and AI workloads.
- Knowledge of real‑time analytics and data activator features.
Pay Range And Compensation Package
Competitive salary based on experience and qualifications.
Equal Opportunity Statement
We are committed to creating a diverse and inclusive environment for all employees. We encourage applications from individuals of all backgrounds and experiences.
Primary Skills
- AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions