About The Company
EazyML, recognized by Gartner, is a leading organization specializing in Responsible AI solutions. Our mission is to facilitate proactive compliance and sustainable automation through cutting-edge technology. We are committed to delivering cutting-edge AI-driven products that empower businesses to operate ethically and efficiently. Our collaborations include breakthrough startups like Amelia.ai, reflecting our dedication to pioneering advancements in the AI domain. At EazyML, we foster a culture of innovation, collaboration, and continuous learning, providing an environment where talented professionals can thrive and make a meaningful impact in the AI ecosystem.

About The Role
We are seeking an experienced Data Engineer to join our dynamic team on a full-time remote basis. This role is ideal for a professional who enjoys tackling complex data challenges and takes ownership of projects from initial design to final delivery. As a Data Engineer at EazyML, you will be responsible for building scalable, reliable data pipelines on Microsoft Azure Fabric,



leveraging AI tools to enhance engineering productivity, and working closely with both business and technical stakeholders to deliver impactful solutions. This position offers the flexibility to work from anywhere in India, providing an excellent opportunity to contribute to innovative projects in a forward-thinking environment.

Qualifications
The ideal candidate will have a minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating expertise in designing and implementing enterprise-grade data solutions. Strong proficiency with Microsoft Azure Fabric, Databricks, and Azure data services is essential. A solid understanding of SQL and data modeling concepts is required, along with experience in building robust data pipelines and integration solutions. Familiarity with Python, Spark, or similar technologies is preferred, especially in cloud-based production environments. The candidate shou

📌 Data Engineer (India)
🏢 FetchJobs.co
📍 India