Data Engineer - Microsoft Azure | FINJO I1131

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.
Strong 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

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