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Job Description Microsoft Fabric Engineer / Microsoft Fabric Data Engineer Job Title: Microsoft Fabric Engineer / Microsoft Fabric Data Engineer Experience: 5+ Years Location: Remote (India) Employment Type: Contract (Long-Term) Shift: Night Shift (EST/CST) Joining: Immediate to 7 Days (Immediate to 15 Days Preferred) Dual Employment: Not Allowed Job Summary We are seeking an experienced Microsoft Fabric Engineer with 58 years of experience in designing, developing, and implementing modern data engineering and analytics solutions using Microsoft Fabric. The ideal candidate should possess strong expertise in building scalable data pipelines, Lakehouse architectures, data transformation using PySpark, and enterprise reporting using Power BI. The candidate will work closely with business and technical stakeholders to deliver high-quality data solutions supporting business intelligence and analytics initiatives. Key Responsibilities Design, develop, and implement end-to-end data engineering solutions using Microsoft Fabric. Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric Data Factory. Develop and optimize Lakehouse and Data Warehouse architectures for enterprise analytics. Create and maintain PySpark notebooks for data ingestion, transformation, and processing. Manage enterprise data using OneLake as the centralized storage platform. Design and develop semantic models, datasets, dashboards, and reports using Power BI. Integrate data from multiple enterprise sources including: SQL Server Azure Data Lake Storage Azure SQL Database REST APIs SAP Other cloud/on-premises systems Optimize Microsoft Fabric workloads for performance, scalability, and cost efficiency. Monitor data pipelines, troubleshoot production issues, and perform root cause analysis. Implement data governance, security, and access control best practices. Collaborate with business users, architects, and cross-functional teams to gather requirements and deliver data-driven solutions. Participate in code reviews, documentation, and deployment activities using Git and Azure DevOps. Required Skills 58 years of experience in Data Engineering and Analytics. Hands-on experience with Microsoft Fabric. Strong expertise in OneLake Lakehouse Data Warehouse Data Factory Data Engineering Real-Time Analytics Strong experience with PySpark and Spark SQL. Excellent SQL programming and query optimization skills. Experience in data modeling (Star Schema, Snowflake Schema, Dimensional Modeling). Hands-on experience in Power BI: Reports Dashboards Semantic Models DAX Experience integrating data from multiple enterprise systems. Experience with Git and Azure DevOps. Good understanding of data governance, data security, and role-based access control. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and stakeholder management skills. Preferred Skills Experience with Azure Data Services: Azure Data Lake Storage (ADLS) Azure SQL Database Azure Synapse Analytics Microsoft Certified: Azure Data Engineer Associate (Preferred). Experience in enterprise data migration projects. Experience implementing CI/CD pipelines for data engineering solutions. Strong Python programming skills. Knowledge of Agile/Scrum development methodologies. Educational Qualification Bachelor's degree in computer science, Information Technology, Engineering, or a related discipline. Mandatory Requirements Microsoft Fabric hands-on implementation experience. Strong PySpark and SQL expertise. Power BI development experience. Immediate to 15 Days' Notice Period preferred. Comfortable working in EST/CST Night Shift. Dual Employment is strictly not allowed. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.