Lead Data Engineer - Fabric

About The Company: iLink Digital is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc. 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