Were looking for a Data Engineer
- Microsoft Azure to join our Data & Analytics practice and help deliver modern data platform solutions for our UK and GCC clients. Youll work across implementation, enhancement, and support projects, building scalable data solutions and enabling business-driven analytics using Microsoft Fabric. This is a hands-on technical and consulting role. Youll be responsible for ingesting and transforming data from sources such as SAP, Salesforce, Incadea, Excel, APIs, and other enterprise systems, implementing Medallion Architecture (Bronze, Silver, and Gold layers), and developing semantic models for enterprise reporting. Youll work closely with business stakeholders, solution architects, and delivery teams across India and the UK to deliver reliable, scalable, and insight-driven data solutions. Experience with Power BI, Advanced DAX, and Microsoft Copilot will be highly valued. What Youll Do Design, develop, and maintain data solutions using Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, and Dataflows Gen2. Build and support scalable ETL/ELT pipelines to ingest, transform, and process data from SAP, Salesforce, Incadea, Excel files, APIs, and other business applications. Implement and maintain Medallion Architecture (Bronze, Silver, and Gold layers) to ensure data consistency, quality, and efficient analytics. Work with business and functional teams to gather requirements, understand reporting needs, and translate them into data solutions. Develop and maintain Power BI Semantic Models, DAX measures, KPIs, and reporting datasets to support business intelligence requirements. Create and optimize data models, fact and dimension tables, and reporting structures for improved performance and usability. Perform data validation, testing, troubleshooting, and deployment activities to ensure accurate and reliable data delivery. Monitor and support production data pipelines, investigate issues, and resolve data quality or performance concerns. Collaborate with solution architects, business users,



and technical teams to deliver high-quality analytics and reporting solutions. Prepare and maintain technical documentation, data mappings, transformation logic, and operational procedures. Utilize Microsoft Copilot and AI-assisted capabilities where appropriate to improve productivity and accelerate solution delivery. What Were Looking For 35 years of hands-on experience in Data Engineering, Data Consulting, Business Intelligence, or Analytics Engineering. Experience working with Microsoft Fabric, Azure Data Services, or similar cloud-based data platforms. Strong technical knowledge of Microsoft Fabric, SQL, Azure Data Factory, Python/PySpark, and data integration concepts. Experience building and maintaining data pipelines, data lake/lakehouse solutions, and Medallion Architecture. Strong understanding of data modelling, including star schemas, fact and dimension design, and data warehousing principles. Hands-on experience in developing Power BI Semantic Models, DAX measures, and enterprise reporting solutions. Experience integrating data from SAP, Salesforce, ERP applications, databases, APIs, and flat-file sources. Knowledge of data quality, governance, security, and performance optimization best practices. Ability to document requirements, data mappings, transformation logic, and solution designs clearly and professionally. Experience supporting testing activities, production deployments, and issue resolution. Robust communication and stakeholder management skills, with experience interacting directly with business users and client teams. Exposure to Microsoft Copilot, Fabric AI capabilities, or AI-assisted analytics will be an added advantage. Microsoft certifications in Fabric, Azure Data Engineering, Power BI,



or Data Analytics are preferred. Nice to Have Exposure to Microsoft Fabric Lakehouse, Data Warehouse, Dataflows Gen2, and Real-Time Analytics capabilities. Experience with Azure Databricks, Snowflake, or other modern cloud data platforms. Knowledge of Power BI governance, deployment pipelines, workspace management, and reporting lifecycle management. Familiarity with SAP, Salesforce, Dynamics 365, Incadea, and other enterprise business applications. Experience with data governance, master data management (MDM), data quality frameworks, and security controls. Exposure to Azure DevOps, Git, CI/CD pipelines, and automated deployment processes. Understanding of Microsoft Copilot, Fabric AI, AI-powered analytics, and intelligent reporting solutions. Experience supporting data migration, modernisation, and cloud transformation initiatives. Familiarity with streaming data, APIs, event-driven architecture, and near real-time analytics solutions. Certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate, or Power BI Data Analyst Associate would be advantageous. Kindly reply to this email without changing the subject line with an updated copy of your resume along with the following details. Current CTC: Expected CTC: Notice Period: AI Screening As part of our evaluation process, an initial AI screening round invite will be shared with you shortly. We request you to complete this assessment at the earliest, as it plays a crucial role in strengthening

your profile
and helps us process your candidature more effectively with the client. Thanks & regards, Team Finjo *Disclaimer* *: Finjo and its associates adhere to a strict no-charge policy for jobseekers. If anyone requests payment for any reason related to job opportunities through Finjo, we strongly advise against complying. Instead, you should report the incident by contacting Finjo's support team at [email protected], providing all necessary details for further investigation.*

📌 Data Engineer (Pune)
🏢 Finjo
📍 Pune