About The Company
EazyML, recognized by Gartner, is a leading organization specializing in Responsible AI solutions. Our company is dedicated to enabling organizations to achieve proactive compliance and sustainable automation through innovative AI-driven technologies. We partner with breakthrough startups like Amelia.ai to develop cutting-edge solutions that address complex data challenges. Our commitment to responsible AI practices ensures that our clients can leverage advanced automation while maintaining ethical standards and regulatory compliance. EazyML's focus on innovation, quality, and sustainability positions us as a trusted partner in the AI ecosystem, serving diverse industries across the globe.

About The Role
We are seeking an experienced and highly motivated Data Engineer to join our dynamic team on a full-time remote basis. This role is ideal for professionals who thrive on solving complex data problems, taking ownership from design through to delivery, and working independently in a collaborative environment. As a Data Engineer at EazyML,



you will be responsible for building scalable and reliable data pipelines on Microsoft Azure Fabric, leveraging AI to enhance engineering productivity, and working closely with both business and technical stakeholders to deliver impactful data solutions. The successful candidate will have a passion for data engineering, a strong technical background, and the ability to adapt quickly to evolving project requirements.

Qualifications
- Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a solid track record of delivering enterprise-grade data solutions.
- Extensive experience working with Microsoft Azure Fabric, Databricks, and Azure data services to build and manage data pipelines.
- Solid understanding of SQL, data modeling concepts, and data warehousing principles.
- Proficiency in Python, Spark, or similar big data technologies, with a proven ability to develop efficient data processing

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