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
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 transparent
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 archi

📌 Specialist Developer Data (Pune)
🏢 Medline Industries
📍 Pune