Data Engineer

Omni Recruit Private Limited; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Omni Recruit Private Limited is seeking a Data Engineer - Microsoft Azure to join our Data & Analytics practice and help deliver modern data platform solutions for UK and GCC clients. You will design, build, and maintain data pipelines using Microsoft Fabric, Lakehouse, Data Factory, and Dataflows Gen2, and develop Power BI semantic models and DAX measures for enterprise reporting.

This hands-on consulting role requires strong SQL, Python/PySpark, data modelling, and collaboration with

Qualifications

• Hands-on data engineering experience in BI/analytics projects.
• Strong knowledge of Microsoft Fabric, Azure Data Services, or similar platforms.
• Proficiency in SQL, Python/PySpark, and data integration concepts.
• Experience building data pipelines and data lake/lakehouse solutions.
• Experience developing Power BI semantic models and DAX measures.

Responsibilities

• Design, develop, and maintain data solutions using Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).
• Build scalable ETL/ELT pipelines ingesting data from SAP, Salesforce, Excel, APIs, and other sources.
• Implement Medallion Architecture (Bronze, Silver, Gold) for reliable analytics.
• Develop and optimize Power BI datasets, measures, KPIs, and semantic models.
• Validate data, troubleshoot issues, and support production data pipelines.
• Collaborate with stakeholders and delivery teams to meet reporting needs.

Skills

Power BI

DAX

Microsoft Fabric

Azure Data Factory

Python/PySpark

SQL

Data modelling

ETL/ELT pipelines

Data warehousing

Medallion Architecture

Tools

Microsoft Fabric

Lakehouse

Power BI

Data Factory Gen2

Job description

We're 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
• 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

What Were Looking For

• 35 years of hands-on experience in Data Engineering, Data Consulting, Business Intelligence, or
• 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
• 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
• 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.

Thanks & regards,