Principal Data Engineer - R01558819

Brillio; Chennai District; On-site; INR 300,000 - 600,000; Full time

Job summary

A technology solutions company is seeking a Lead Microsoft Fabric Data Engineer with over 7 years of experience. The role involves designing and deploying data pipelines, working with SQL, Python, and R. Key responsibilities include creating ETL workflows, managing data integration, and optimizing performance consistent with industry standards. Candidates should have strong leadership skills and experience in data governance. A competitive salary will be offered based on qualifications and experience.

Qualifications

• 7+ years of experience in data engineering, with a strong focus on Microsoft Fabric and related technologies.

Responsibilities

• Design, develop, and deploy data pipelines within Microsoft Fabric.
• Architect and implement ETL workflows optimized for Fabric’s unified data platform.
• Build and manage integration solutions that unify structured and unstructured sources.
• Leverage OneLake as the single data lake for enterprise-scale storage and analytics.
• Partner with Data Scientists, Analysts, and BI Engineers for data infrastructure support.
• Monitor, troubleshoot, and optimize Fabric pipelines for performance.
• Implement governance and compliance frameworks within Fabric.
• Lead and mentor a team of engineers and oversee workspace design.
• Automate workflows using Fabric Data Factory and Azure DevOps.
• Document Fabric pipeline architecture and contribute to best practices.

Skills

SQL

Python

Scala

R

Data pipelines

ETL

Data governance

Leadership

Tools

Azure DevOps

Airflow

OneLake

AKS

Event Hub

Cosmos DB

Azure Functions

Job description

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.

Primary Skills

• AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

Specialization

Job requirements