About The Company

EazyML, recognized by Gartner, specializes in Responsible AI solutions that enable organizations to achieve proactive compliance and sustainable automation. Founded with a vision to transform AI deployment, EazyML leverages cutting-edge technologies to deliver innovative data-driven solutions. The company collaborates with breakthrough startups such as Amelia.ai, positioning itself at the forefront of AI innovation and responsible technology adoption. With a focus on empowering businesses through scalable and ethical AI practices, EazyML is committed to fostering a culture of continuous improvement, technical excellence, and responsible innovation.

About The Role

We are seeking an experienced Data Engineer to join our agile team in a full-time remote capacity. This role is ideal for a professional who thrives on solving complex data challenges and takes full ownership of their work from design to delivery. As a Data Engineer at EazyML, you will be instrumental in building scalable data pipelines on Microsoft Azure Fabric,



leveraging AI to enhance engineering productivity, and collaborating closely with both business and technical stakeholders to deliver impactful data solutions. The position offers the flexibility to work from anywhere within India, enabling a healthy work-life balance while contributing to innovative projects that shape the future of Responsible AI.

Qualifications

Minimum of 5+ years of hands-on experience as a Data Engineer, with a proven track record of delivering enterprise-grade data solutions.
Extensive experience working with Microsoft Azure Fabric, Databricks, and other Azure data services.
Strong proficiency in SQL and comprehensive understanding of data modeling concepts.
Demonstrated ability to design, develop, and maintain scalable data pipelines and integration solutions.
Proficiency in programming languages such as Python, Spark, or similar technologies preferred.
Experience working with cloud-based data platfo

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