
Data Engineer
3 days ago
Calling All Data Engineering Rockstars
Job Title: Data Engineer
Location: Ahmedabad, Gujarat
Shift: UK Day Shift (Monday – Friday)
Timings: 12:30 PM – 9:30 PM | 1:30 PM – 10:30 PM
Why This Role Rocks
Are you passionate about building data pipelines that actually power decisions? Do you geek out over clean, scalable architectures and love turning messy data into actionable insights? If yes, you'll fit right in with our fast-growing data squad
We're looking for a Data Engineer who's hands-on with Microsoft Fabric, thrives in solving complex data challenges, and wants to leave their mark on the data ecosystem that powers a modern business.
What You'll Do
Build & Scale: Design, build, and maintain data pipelines and transformation workflows using Microsoft Fabric (Data Factory, OneLake, Dataflows, Notebooks).
Model & Analyze: Create and manage data models and analytics solutions that fuel smarter business decisions.
Integrate & ETL: Bring together data from cloud and on-prem sources into centralized, governed environments.
Keep it Clean: Ensure data quality, integrity, consistency, and security across all layers.
Optimize & Innovate: Monitor performance, improve scalability, and make your pipelines cost-efficient and smooth.
Collaborate: Work with BI developers, data analysts, and engineers to translate business needs into rock-solid data solutions.
Troubleshoot: Dive in to fix data issues fast — you'll love it
Follow Best Practices: Keep your code clean, test thoroughly, and automate deployments.
Document Everything: Maintain clear docs for architecture, workflows, and configurations — future-you will thank you.
What You Bring
Proven experience as a Data Engineer or similar role.
Proficiency in Python, T-SQL, Power Query, and KQL.
Strong knowledge of Microsoft Fabric (Data Factory, Pipelines, Notebooks, Lakehouses).
Familiarity with Microsoft security & governance frameworks (Purview, RBAC).
Solid analytical, problem-solving, and debugging skills.
Exposure to CI/CD practices and Azure DevOps tools.
Bonus Points If You Have
Understanding of machine learning model lifecycle.
Experience with Azure Machine Learning or other cloud ML platforms.
Why You'll Love Working Here
Work with a forward-thinking, collaborative team that values ideas over hierarchy.
Get hands-on experience with cutting-edge Microsoft Fabric and Azure tools.
Build solutions that impact real business decisions every day.
Flexible, inclusive, and dynamic workplace — where your curiosity drives your growth.
Ready to take your data game to the next level? Apply now and let's build the future of data together
DataEngineer #DataEngineering #MicrosoftFabric #AzureData #ETL #DataPipelines #DataAnalytics #DataScience #MachineLearning #Python #TSQL #PowerQuery #Lakehouse-
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