Job Summary
This role requires a robust blend of architecture, hands-on development, stakeholder management, and strategic solution design.
The candidate should have a robust background in Data architecture, data modeling and ETL (Extract, Transform, Load) processes. The candidate should have essential hands-on experience with Advanced SQL and python. Proficiency in building Data Lake and pipelines using Azure/Fabric is highly desirable. Additionally, knowledge and experience in Quality domain is a plus.
Job Description
Responsibilities:
Partner with business stakeholders to understand reporting, analytics, and data integration requirements.
Analyze source systems, business rules, and data dependencies to create explicit 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.
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 modeling, 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 architectu

📌 Specialist Developer Data Pune
🏢 Medline
📍 Pune