Your role
The Engineer develops technology capabilities and services that Product teams use to build customer-facing solutions, expediting the delivery of technology-enabled value to the Business. They develop and/or configure technologies to meet technical requirements and architecture, whilst ensuring the services they build are robust, maintainable, reusable, and highly scalable. Engineer has ownership of end-to-end data pipelines (semantic layer -> bespoke layer), do architectural decision within Azure Data Platform, owns non-functional requirements such as performance improvement, cost reduction and security standards, providing long-term technical direction for data engineering within Product Team.

Main Responsibilities
- Designs, configures, develops, builds, tests, and releases end‑to‑end Azure‑based data solutions and services that meet functional and non‑functional requirements, contributing to the delivery of high‑value, scalable Product increments.




- Leads the design and implementation of data engineering solutions and architectural components across the Azure Data Platform (e.g., Azure Data Factory, Databricks, Snowflake, SAP BW, MuleSoft, Apigee), ensuring alignment with enterprise architecture standards and best practices.
- Acts as a technical authority for data engineering, collaborating closely with Product Owners, Platform Owners, Platform Architects, and stakeholders to translate business requirements into robust, maintainable, and cost‑effective data solutions.
- Owns complex incidents, defects, and escalations, identifying root causes and driving sustainable fixes across data pipelines, platforms, and integrations.
- Delivers secure, high‑quality, production‑grade code, ensuring compliance with security, data governance, and engineering standards, and proactively addressing performance, reliability, and scalability concerns.
- Proactively identifies and drives resolution of technical debt, makes independent technical decisions, clearly communi

📌 Commercial Senior Data Engineer (Pune Division)
🏢 Atlas Copco Group
📍 Pune Division