Area(s) of responsibility

About the Role
We are seeking a Senior Data Platform Engineer with extensive hands-on experience to build and scale enterprise-grade data pipelines on Azure and Databricks. This role requires deep technical expertise, robust ownership, and the ability to independently deliver complex, production-ready data solutions while setting engineering best practices.
What Youll Do
Build scalable pipelines using Databricks (DLT, Autoloader, Workflows) and Azure services
Extend metadata-driven ingestion frameworks (declarative, reusable)
Develop modular PySpark code and libraries (WHL packaging)
Implement Delta Lake patterns (CDC, SCD Type 2, merges)
Optimize SQL workloads for performance and cost
Orchestrate pipelines via Synapse or UC4
Apply data modeling (Kimball, 3NF, lakehouse)




Implement CI/CD with Azure DevOps
Enforce governance via Unity Catalog
Mentor engineers and contribute to engineering standards

Required Technical Skills & Proficiency Category Technology / Skill Required Proficiency
Cloud Platform Azure (ADLS Gen2, Key Vault, Azure SQL, Entra ID) Advanced (Deep hands-on, production-scale design & troubleshooting)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Platform Engineer (Uttar Pradesh)
🏢 Birlasoft
📍 Uttar Pradesh