Data Engineer - Azure (Fabric Service)

About the Role

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

• Data Pipeline Development: 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.
• ETL Architecture: Architect and implement ETL workflows optimized for Fabric’s unified data platform, streamlining ingestion, transformation, and storage.
• Data Integration: 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.
• Fabric OneLake & Synapse: Leverage OneLake as the single data lake for enterprise-scale storage and analytics, integrating with Synapse Data Warehousing for big data processing and reporting.
• Cross-functional Collaboration: Partner with Data Scientists, Analysts, and BI Engineers to ensure Fabric’s data infrastructure supports Power BI, AI workloads, and advanced analytics.
• Performance Optimization: Monitor, troubleshoot, and optimize Fabric pipelines for high availability, fast query performance, and minimal downtime.
• Data Governance & Security: Implement governance and compliance frameworks within Fabric, ensuring data lineage, privacy, and security across the unified platform.
• Leadership & Mentorship: Lead and mentor a team of engineers, oversee Fabric workspace design, code reviews, and adoption of new Fabric features.
• Automation & Monitoring: Automate workflows and orchestration using Fabric Data Factory, Azure DevOps, and Airflow, ensuring smooth operations.
• Documentation & Standards: Document Fabric pipeline architecture, data models, and ETL processes. Contribute to Fabric engineering best practices and enterprise guidelines.
• Innovation: Stay current with Fabric’s evolving capabilities (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.