Data Engineer with Microsoft Dataverse & Azure Databricks

Job Title - Data Engineer with Microsoft Dataverse & Azure Databricks Experience Required - 7+ Years Timezone - 6:30 AM to 2:30 PM IST (Singapore - 9 am to 5 pm) Budget - 1.10 - 1.20 LPM Work Mode - Remote Detailed Job Descriptions Looking for an independent, senior-level Data Engineer with a strong background in database design . Your primary focus will be designing database structures across platforms, with a heavy emphasis on Microsoft Dataverse and its integration with Azure Databricks . Key Responsibilities Database Design: Lead the design, modelling, and structuring of databases across platforms. Dataverse Expert: Own the architecture, security, and setup within Microsoft Dataverse . Databricks Integration: Build and optimise seamless connections and data pipelines between Azure Databricks and Dataverse . Independent Delivery: Take complete ownership of projects from concept to deployment with minimal supervision. Requirements - Strong, proven background in enterprise database design . - Deep, hands-on expertise in Microsoft Dataverse . - Solid experience working with Azure Databricks . - Proven experience successfully linking/integrating Databricks with Dataverse . - Prior experience working within the FMCG or Retail domain . While sharing the profile of your resource, share the details below, too S.No. | Technology / Skill | Candidate Experience (In Years) | Self Rating (1-10) | 1 | Overall Years of Experience | | 2 | Relevant Experience | | 3 | Enterprise Database Design | | /10 | 4 | Database Architecture & Modelling | | /10 | 5 | Microsoft Dataverse | | /10 | 6 | Dataverse Architecture | | /10 | 7 | Dataverse Security & Access Model | | /10 | 8 | Azure Databricks | | /10 | 9 | Databricks Dataverse Integration | | /10 | 10 | Data Pipelines / ETL / ELT | | /10 | 11 | Azure Data Integration / Connectivity | | /10 | 12 | Data Modelling & Data Transformation | | /10 | 13 | Database Performance Optimisation | | /10 | 14 | Data Security & Governance | | /10 | 15 | End-to-End Data Engineering Delivery | | /10 | 16 | Independent Project Ownership | | /10 | 17 | FMCG / Retail Domain Experience | | /10 | 18 | Educational Qualification (Mention the course name with Passout Year ) | | 19 | Certifications (List all the certifications and share the soft copy or screenshots of certificates - if any ) | | 20 | Currently engaged in any project (If yes, when did last project completed ) | |