Specialist Developer Data

Medline; Maharashtra; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Medline India is seeking a senior data engineer/architect to lead architecture and hands-on development for data pipelines and lakehouse solutions. You will work closely with business stakeholders to translate requirements into scalable data models using Microsoft Fabric and Azure data services.

The role emphasizes strong SQL and Python skills, data quality, and governance, with responsibility for end-to-end delivery and mentoring of junior engineers in an enterprise data environment in Pune,

Qualifications

• 8 to 12 years of experience in data engineering, architecture, or BI.
• Hands-on with Fabric and Azure data services.
• Experience with Medallion architecture and data lakes/warehouses.
• Ability to model data and design end-to-end solutions.

Responsibilities

• Partner with stakeholders to capture analytics and data integration needs.
• Design and develop scalable data pipelines and data models.
• Create source-to-target mappings and technical designs.
• Lead end-to-end delivery including testing, migration, and training.
• Mentor junior team members and promote best practices.

Skills

Data architecture

Data modelling

ETL processes

Advanced SQL

Python

Azure data services

Microsoft Fabric

Data lakes/pipelines

Stakeholder management

Mentoring

Education

IT Graduate (BE, BTech, MCA)

Tools

Microsoft Fabric

Azure Data Factory

Azure Data Lake

Azure Synapse Analytics

Databricks

Power BI

Lakehouse / Warehouse

Job description

Job Summary

This role requires a strong blend of architecture, hands‑on development, stakeholder management, and strategic solution design. The candidate should have a robust background in data architecture, data modelling and ETL processes. They should also have essential hands‑on experience with Advanced SQL and Python. Proficiency in building data lakes and pipelines using Azure/Fabric is highly desirable. Additionally, knowledge and experience in the quality domain is a plus.

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.
• Lead 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.
• Define and promote best practices for data engineering, data modelling, documentation, code quality, deployment, and support processes.
• Mentor junior team members and provide technical direction on Azure/Fabric data engineering solutions.
• Identify trends, patterns, and data quality issues in complex datasets and convert findings into actionable recommendations.

Required Skills

• 8 to 12 years of overall experience in data engineering, data architecture, business intelligence, or enterprise data platforms.
• Strong hands‑on experience designing, developing, and supporting data solutions using Microsoft Fabric and Azure data services.
• Experience with Fabric Data Lake, Medallion architecture, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Fabric Lakehouse/Warehouse, Dataflows, Pipelines, and Power BI.
• Develop and maintain conceptual, logical, and physical data models to support enterprise reporting, analytics, and operational needs.
• Design end‑to‑end data solutions leveraging Lakehouse, Data Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
• Define and enforce data architecture standards, governance frameworks, security models, and best practices.
• Strong understanding of data engineering concepts including ETL/ELT, data ingestion, data transformation, data quality, orchestration, and performance optimisation.
• Good working knowledge of data modelling fundamentals, including conceptual, logical, and physical data models, dimensional modelling, facts, dimensions, keys, and relationships.
• Excellent SQL skills, including writing optimised queries, analysing complex datasets, and supporting query/report performance tuning.
• Ability to translate business requirements into scalable data architecture, data pipelines, semantic models, and reporting‑ready datasets.
• Experience working with business stakeholders to understand data requirements, define source‑to‑target mapping, validate outputs, and support testing/sign‑offs.
• Ability to document technical designs, data flows, mappings, dependencies, and end‑to‑end delivery processes.
• Good understanding of SAP data, business processes, and enterprise reporting environments is preferred.
• Excellent communication, presentation, and relationship‑building skills with business users, technical teams, and cross‑functional stakeholders.
• Ability to mentor junior team members and provide technical guidance on data engineering best practices.

Desired Skills

• Experience working as a Data Architect, Senior Data Engineer, Azure Data Engineer, or Fabric Data Engineer in enterprise data environments.
• Hands‑on exposure to Microsoft Fabric components such as Lakehouse, Warehouse, OneLake, Data Factory Pipelines, Dataflows, Notebooks, and semantic models.
• Experience with medallion architecture, lakehouse patterns, data warehouse design, and enterprise reporting datasets.
• Working knowledge of data governance, data lineage, access controls, naming standards, and reusable data engineering frameworks.
• Exposure to HANA Modelling, SAP data structures, BusinessObjects, or Tableau is nice to have.
• Experience working in a captive centre or global capability centre environment is a plus.
• Strong problem‑solving skills with the ability to work in a fast‑paced, dynamic, and cross‑functional environment.

Education

• IT Graduate (BE, BTech, MCA) preferred

About Medline India

Medline India was set up 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 & 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 organisation 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 organisation 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 recognised 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.