Data Engineer
👨💼 Roles: Data Engineer
👨💼 Experiences: Experienced Required
🏢 Companies: Stylo Pvt Ltd
🗓 Posted: 2026-02-06
⏳ Expires: 2026-02-13
Stylo Pvt Ltd is hiring Data Engineer
Description
Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions
Design and implement modern data warehouse (DWH) and lakehouse architectures using OneLake, Fabric, and other Azure components
Develop end-to-end ETL/ELT data pipelines using Microsoft Fabric, Data Factory, and Databricks
Manage batch and real-time data ingestion from multiple structured and unstructured sources
Lead the design of metadata-driven ingestion and processing frameworks
Implement data governance using Azure Purview including metadata management, data cataloging, and lineage tracking
Work closely with project managers and architects to ensure timely and quality delivery
Participate in environment provisioning, optimization, and monitoring of the Azure Fabric platform
Experience working on large-scale cloud-based data warehouses and data lakes
Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
Required Skills
Understanding of DWH concepts, ETL/ELT pipelines, and data modeling
Hands-on experience with:
Microsoft Fabric components: OneLake, Dataflows Gen2, Pipelines, Lakehouses
Azure Data Factory, Azure SQL, Azure Synapse, Azure Analysis Services
Azure Purview for data governance
Power BI for reporting and dashboarding
Databricks for transformation using PySpark/Spark
Experience in metadata-driven ingestion, Microsoft Fabric Toolbox, and working with multiple source systems
Experience in data migration from legacy systems or other cloud platforms to Microsoft Fabric
Nice to Have Skills
Provisioning and managing Fabric workspaces and environments
Integration with Power Platform (Power Apps, Power Automate) for low-code/no-code applications
Familiarity with CI/CD for data pipelines using GitHub Actions or Azure DevOps
Experience
Minimum 2 years of experience in data engineering, data management and data governance role with at least 1 year of hands-on experience working with Azure data services, including 1+ project delivered using Microsoft Fabric
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