This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer / Microsoft Fabric Engineer (Immediate Joiner) based in India.

This is an exciting opportunity for an experienced data engineering professional to build and optimize modern cloud-based data platforms in a fully remote environment. The role focuses on designing scalable, high-performance data solutions that power enterprise analytics and strategic decision-making. You will work across the full data engineering lifecycle, from architecture and implementation to production support and continuous improvement. Collaborating with business stakeholders, architects, and cross-functional teams, you will transform complex data requirements into reliable and effective data ecosystems. The position offers exposure to cutting-edge technologies such as Microsoft Fabric, Databricks, and AI-assisted development tools, making it ideal for professionals passionate about innovation, cloud technologies, and data-driven transformation.

Accountabilities:




- Design, develop, and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure data services.
- Build and optimize ETL/ELT processes capable of handling structured, semi-structured, and unstructured enterprise data.
- Collaborate with business stakeholders and technical teams to gather requirements and translate them into robust data engineering solutions.
- Develop and maintain reliable data integration workflows that ensure data quality, consistency, and accessibility across platforms.
- Optimize data processing environments for performance, scalability, reliability, and cost efficiency.
- Utilize AI-assisted development tools and modern engineering practices to accelerate delivery and enhance solution quality.
- Monitor, troubleshoot, and resolve production issues while proactively identifying opportunities for automation and continuous improvement.
- Implement

📌 Senior Data Engineer (India)
🏢 Jobgether
📍 India