
Role: Azure Fabric Data Engineer
Experience: 5–10 Years
Location: Pune/Bangalore
Employment Type: Full-Time
About the Role
We are looking for an experienced Azure Data Engineer with strong expertise in Microsoft Fabric and Power BI to build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.
Key Responsibilities
- Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
- Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
- Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
- Create and optimize Power BI datasets, data models, and DAX calculations.
- Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
- Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
- Build dimensional models (Star/Snowflake) and support BI teams.
- Ensure data governance & security using Purview, RBAC, and AAD.
Required Skills
- Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
- Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
- Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
- Strong SQL, Python/PySpark skills.
- Experience in Delta Lake, Medallion architecture, and data quality frameworks.
Nice to Have
- Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
- Experience with CI/CD (Azure DevOps/GitHub).
- Databricks experience (preferred).
Note: One Technical round is mandatory to be taken F2F from either Pune or Bangalore office

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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To see the quality of our code, you can checkout some of our open source projects: https://github.com/everest-engineering
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Design and/or contribute to client-side and server-side architecture.
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Well versed with fundamentals of REST.
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Familiarity with databases - RDBMS like MySQL, Postgres & NoSQL like MongoDB, DynamoDB.
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Well versed with one or more cloud platforms like - AWS, Azure, GCP.
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Familiarity with CI/CD tools like Jenkins, CircleCI, Github Actions..
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Unit testing tools like Junit, Mockito, Chai, Mocha, Jest
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