Specialist Business Intelligence

Medline Industries India Private Limited; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Medline India is seeking a strong Microsoft Fabric Developer with 10+ years of hands-on experience to build scalable data engineering and analytics solutions. The role focuses on fabric-based lakehouse/warehouse architectures, data pipelines, modelling, and enterprise reporting datasets using Azure services and Power BI.

You will translate business requirements into scalable pipelines, semantic models, and analytics datasets, collaborating with stakeholders and QA to ensure data quality and

Qualifications

• 6+ years of overall experience in data engineering, BI or analytics.
• Hands-on experience in Microsoft Fabric, Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
• Experience with medallion architecture, lakehouse patterns, data warehouse design, and enterprise reporting datasets.
• Hands-on experience in ETL/ELT pipelines, data ingestion, transformation and orchestration.
• Good working knowledge of Azure data services (ADF, Data Lake, Synapse, Databricks).
• Strong data modelling concepts: conceptual, logical, physical models; dimensional modelling.

Responsibilities

• Partner with business stakeholders to understand reporting, analytics, and data integration requirements.
• Analyze source systems, business rules, and data dependencies to create clear functional and technical requirement documentation.
• Design and develop scalable data pipelines, data models, lakehouse/warehouse structures, and reporting-ready datasets using Microsoft Fabric and Azure data services.
• Create and maintain source-to-target mappings, data flow diagrams, transformation logic, and technical design documents.
• Apply data modelling principles to support analytical, operational, and reporting use cases.
• Work with business users and QA teams to support data validation, testing, defect resolution, and sign-offs.
• perform end-to-end delivery activities including design, development, testing, migration, production support, user training, and documentation.
• Optimize SQL queries, data pipelines, semantic models, and reports for performance, scalability, and reliability.
• Identify trends, patterns, and data quality issues in complex datasets and convert findings into actionable recommendations.

Skills

Microsoft Fabric

SQL

ETL/ELT

Azure data services

Power BI

Data modelling

Lakehouse/Warehouse design

Data pipelines

Notebooks

Semantic models

Education

IT Graduate (BE, BTech, MCA)

Tools

Azure Data Factory

Azure Data Lake

Azure Synapse

Databricks

Job description

Job Summary

Job Description

We are looking for a strong Microsoft Fabric Developer with 10+ years of hands-on experience in building scalable data engineering and analytics solutions. The candidate should have strong knowledge of Microsoft Fabric, data modelling, SQL, ETL/ELT processes, Lakehouse/Warehouse architecture, and enterprise reporting datasets. Experience with Azure data services, Power BI, and business stakeholder collaboration will be an added advantage.

Required skills:

• 6+ years of overall experience in data engineering, business intelligence or analytics.
• Strong hands-on experience in Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
• Experience with medallion architecture, lakehouse patterns, data warehouse design, and enterprise reporting datasets.
• Hands-on experience in building and maintaining ETL/ELT pipelines, data ingestion, data transformation, and orchestration processes.
• Good working knowledge of Azure data services such as Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks will be preferred.
• Good understanding of data modelling concepts, including conceptual, logical, and physical data models.
• Experience with dimensional modelling, facts, dimensions, keys, relationships, and reporting-ready datasets.
• Strong SQL skills, including writing optimized queries, analyzing complex datasets, and supporting performance tuning.
• Ability to translate business requirements into scalable data pipelines, semantic models, and analytical datasets.
• Experience in source-to-target mapping, data validation, testing support, defect resolution, and production support.
• Ability to document technical designs, data flows, mappings, dependencies, and delivery processes.
• Good communication skills to work with business users, technical teams, QA teams, and cross-functional stakeholders.
• Good understanding of SAP data, business processes, and enterprise reporting environments is nice to have.

Desired Skills:

• Exposure to HANA Modeling, SAP data structures, BusinessObjects, or Tableau is nice to have.
• Experience working in a captive center or global capability center environment is a plus.
• Strong problem-solving skills with the ability to work in a fast-paced, dynamic, and cross-functional environment.

Responsibilities:

• Partner with business stakeholders to understand reporting, analytics, and data integration requirements.
• Analyze source systems, business rules, and data dependencies to create clear functional and technical requirement documentation.
• Design and develop scalable data pipelines, data models, lakehouse/warehouse structures, and reporting-ready datasets using Microsoft Fabric and Azure data services.
• Create and maintain source-to-target mappings, data flow diagrams, transformation logic, and technical design documents.
• Apply data modeling principles to support analytical, operational, and reporting use cases.
• Work with business users and QA teams to support data validation, testing, defect resolution, and sign-offs.
• perform end-to-end delivery activities including design, development, testing, migration, production support, user training, and documentation.
• Optimize SQL queries, data pipelines, semantic models, and reports for performance, scalability, and reliability.
• Identify trends, patterns, and data quality issues in complex datasets and convert findings into actionable recommendations.

Education

• IT Graduate (BE, BTech, MCA) preferred

About Medline India:

Medline India was setup in 2010 in Pune, primarily as an offshore Development centre and to augment resources for Medline Industries LP headquartered in Chicago, USA. We are a 1500+ strong and growing team of technology, finance & and business support professionals who support our businesses worldwide towards a mission to make healthcare run better. We are proud to be certified as a ‘Great Place to Work’ by the Great Place to Work Institute® (India) for the duration May 2023 – May 2024.
We are an organization with a conducive work environment, ample opportunities to learn, contribute and grow with a highly empowered & engaged team. We encourage our people to share their best ideas and create new opportunities for our customers and ourselves to work together to solve today’s toughest healthcare challenges.

About Medline Industries, LP:

Established in 1966, Medline Industries LP is a renowned global healthcare organization boasting 56 years of consecutive sales growth, exceeding $21 billion in annual sales. With a workforce of over 36,000 professionals spread across the globe, we operate in more than 125 countries and territories. As the largest privately held manufacturer and distributor of medical supplies in the United States, Medline is uniquely positioned to offer comprehensive products, education, and support across the continuum of care.
At present, Medline Industries, LP holds the esteemed position as the #1 market leader, delivering an extensive portfolio of over 550,000 medical products and clinical solutions. Our clientele includes hospitals, extended care facilities, surgery centres, physician offices, home care agencies, providers, and retailers. We are proud to be recognized by Forbes as one of America’s Best Large Employers and Best Employers for Women. Additionally, the Chicago Tribune has consistently named us a Top Workplace for the past 12 years.