Lead Data Engineer - Fabric

About The Company:

What makes iLink's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

We are looking for a highly skilled Lead Data Engineer with strong expertise in Microsoft Fabric to design, develop, and manage modern data platforms. The ideal candidate will drive end-to-end data engineering solutions, mentor the team, and collaborate closely with business and technical stakeholders to deliver scalable and high-performance data pipelines.

Key Responsibilities

• Lead the design and implementation of end-to-end data solutions on Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, and Data Engineering experiences.
  
• Build and optimize ETL/ELT pipelines using PySpark, Dataflows Gen2, and Fabric pipelines.
  
• Architect and maintain Lakehouse and Delta Lake structures for large-scale data processing.
  
• Ensure strong data governance, quality, lineage, and security across the ecosystem.
  
• Work closely with data architects, analysts, and business partners to understand requirements and convert them into technical solutions.
  
• Oversee performance tuning, capacity planning, cost management, and platform optimization.
  
• Mentor junior data engineers and provide best practices for coding, design, and deployment.
  
• Implement CI/CD processes for Fabric workloads (Git integration, workspace management, DevOps).
  
• Troubleshoot data pipeline failures, production issues, and optimize workloads.
  
• Stay updated with Microsoft Fabric roadmap and bring innovative solutions into the architecture.
  

Required Skills & Experience

• 7+ years of experience in Data Engineering, with at least 2+ years in Microsoft Fabric or modern data platforms.
  
• Strong hands-on experience in:
  • PySpark / Spark SQL
    
  • Fabric Data Engineering, Lakehouse, Warehouse
    
  • Pipelines, Dataflows Gen2, KQL, Notebooks
    
  • Delta Lake and Medallion architecture
    
• Solid understanding of data modeling, data warehousing, and SQL performance tuning.
  
• Experience with Azure services: ADLS, Synapse, Data Factory, Databricks (added advantage).
  
• Expertise in Git, DevOps practices, and production deployment workflows.
  
• Strong analytical/problem-solving skills and stakeholder management capabilities.
  
• Experience leading a team or owning end-to-end delivery of data solutions.
  

Good to Have

• Knowledge of Power BI integration with Fabric
  
• Experience with Real-time analytics / Event streaming
  
• Familiarity with Python development and API integrations
  
• Exposure to ML pipelines within Fabric
  

Benefits

• Competitive salaries
  
• Medical Insurance
  
• Employee Referral Bonuses
  
• Performance Based Bonuses
  
• Flexible Work Options & Fun Culture
  
• Robust Learning & Development Programs
  
• In-House Technology Training