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Lead Data Engineer (Microsoft Fabric)

SPARIX GLOBAL PRIVATE LIMITED
Posted on

Experience
10 - 15 yrs
Job Location
Noida, India
Vacancy
1
Designation
Lead Data Engineer
Job Type
ONSITE

Job Description

This req. is remote but candidate from Gurugram location only. As per client demands resource need to visit office 1-2 days in a month.
Job Title: Lead Data Engineer (Microsoft Fabric)
Location: Gurugram, India (100% On-site | 5 Days Work from Office) Experience: 10+ Years Certification Required: DP-700 (Microsoft Fabric Analytics Engineer Associate)
Role Overview
We are seeking a high-caliber Lead Data Engineer with a decade of experience to spearhead our transition into the Microsoft Fabric ecosystem. You will be responsible for designing and implementing end-to-end data solutions, leveraging OneLake, Lakehouses, and Warehouse architectures. As a Lead, you will provide technical governance, mentor junior engineers, and ensure our data platform is scalable, secure, and optimized for real-time analytics.
Key Responsibilities
Architecture & Design: Design and build modern data architectures using Medallion Architecture (Bronze/Silver/Gold) within Microsoft Fabric.
Data Engineering: Develop complex data pipelines using Data Factory (Dataflows Gen2) and Fabric Notebooks (PySpark).
Semantic Modeling: Build and optimize high-performance Semantic Models and implement Direct Lake connectivity for seamless Power BI integration.
Governance & Security: Implement workspace-level security, OneLake shortcuts, and manage capacity settings to ensure cost-efficient performance.
DataOps & CI/CD: Lead the integration of Fabric workspaces with Git (Azure DevOps/GitHub) and manage deployment pipelines.
Leadership: Act as the subject matter expert (SME) for Microsoft Fabric, providing technical guidance to stakeholders and mentoring a team of data engineers.
Technical Qualifications
Core Experience: 10+ years in Data Engineering, with a heavy focus on the Microsoft Azure Data Stack (ADF, Synapse, Databricks, SQL DW).
Fabric Expertise: Hands-on experience with OneLake, Lakehouse, Data Warehouse, and KQL Databases.
Advanced Querying: Expert-level proficiency in T-SQL, PySpark, and DAX.
Modeling Mastery: Proven experience in Star Schema design and dimensional modeling.
Certification: Mandatory DP-700 Certification. Other certifications like DP-203 (Azure Data Engineer) are a significant plus.
Preferred Soft Skills
Strategic Thinking: Ability to map business requirements to technical architecture.
Communication: Excellent verbal and written skills to interact with global stakeholders.
Problem-Solving: A proactive approach to troubleshooting performance bottlenecks in a SaaS environment.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.