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Provitious Technologies is seeking an experienced Microsoft Fabric Data Engineer to design a global HR analytics platform, integrating regional HRIS sources and building governed data layers using OneLake and Fabric. You will craft secure pipelines, ensure data quality, and enable Power BI reporting across regions.
Responsibilities include designing ingestion pipelines, mapping and transforming data, handling multilingual formats, and implementing robust data governance and security practices
Provitious Technologies helps businesses automate, scale, and innovate through smart, measurable technology solutions. The company designs adaptive systems that enhance performance, offering services such as Custom Software Development, Business Process Automation, and Microsoft Power Platform solutions. With core expertise in Power BI, Power Automate, PowerApps, Cloud Computing, DevOps, and IT Consulting, Provitious Technologies serves diverse industries including Real Estate, Healthcare, Supply Chain, Finance, Government, and more. Guided by precision and collaboration, the team focuses on simplifying technology, empowering teams, and enabling data-driven decisions. Based in India, Provitious Technologies partners with clients worldwide to build efficient, scalable, and seamless digital solutions.
We are looking for an experienced Microsoft Fabric Data Engineer to design and implement a global HR data platform using Microsoft Fabric, OneLake and Data Factory.
The candidate will work on integrating multiple regional HRIS platforms and heterogeneous data sources into a governed enterprise HR analytics platform, supporting secure data processing, transformation, quality validation and Power BI reporting.
Microsoft Fabric: Microsoft Fabric, OneLake, Fabric Data Factory, Lakehouse, Fabric Pipelines, Dataflows Gen2
Data Engineering: SQL, ETL/ELT, Data Transformation, Data Modeling, Bronze/Silver/Gold Architecture, Delta Lake, Parquet
Data Integration: REST APIs, JSON, SFTP, CSV, Excel, API Authentication, Secure File Transfer, Incremental and Full Data Loads
Data Quality & Processing: Data Validation, Data Reconciliation, Duplicate Detection, Error Handling, Retry Mechanisms, Data Mapping, Data Lineage
Security & Governance: Microsoft Entra ID, Role-Based Access Control (RBAC), Fabric Permissions, OneLake Security, Managed Identities, Azure Key Vault, Least-Privilege Access
Azure & Cloud: Microsoft Azure, Azure Storage, Azure Integration Services, Cloud Data Platforms
Preferred Skills:Power BI, DAX, HRIS Integration, HR Data Models, Data Governance, Microsoft Purview, Enterprise Data Warehousing
5+ years data engineering experience with at least: 2+ years Microsoft Fabric / modern Azure data platform experience and demonstrated experience with: