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 collaborate with breakthrough startups such as Amelia.ai, positioning ourselves at the forefront of AI innovation and responsible data practices. Our mission is to empower businesses with scalable, reliable, and ethical AI solutions that drive efficiency, transparency, and trust in their operations.

About The Role
We are seeking an experienced Data Engineer to join our dynamic team on a full-time remote basis. This role offers an exciting opportunity for a qualified who enjoys tackling complex data challenges and takes full ownership from the design phase through to deployment. As a Data Engineer at EazyML, you will be responsible for building and maintaining scalable data pipelines, leveraging AI to enhance engineering productivity,



and working closely with both technical and business stakeholders to deliver impactful data solutions. The ideal candidate will have a strong background in cloud-based data platforms, particularly Microsoft Azure Fabric, and a passion for innovative data engineering practices.

Qualifications
- Minimum of 5+ years of practical experience as a Data Engineer, demonstrating a proven track record in designing and implementing data solutions.
- Extensive experience working with Microsoft Azure Fabric, Databricks, and other Azure data services.
- Deep understanding of SQL, data modeling concepts, and data warehousing principles.
- Hands-on experience in building enterprise-grade data pipelines and data integration solutions.
- Proficiency in programming languages such as Python, Spark, or equivalent technologies.
- Experience working with cloud-based data platforms in production environments, ensuring reliability and scalability.

Responsibilities
- Design, develop, and

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