About The Company

EazyML, recognized by Gartner, is a leading innovator in the field of Responsible AI. Our company specializes in developing cutting-edge solutions that facilitate proactive compliance, sustainable automation, and ethical AI deployment. Partnering with breakthrough startups like Amelia.ai, EazyML is committed to advancing AI technologies responsibly and effectively. Our mission is to empower organizations with reliable, scalable, and compliant AI-driven data solutions that drive business growth and innovation.

About The Role

We are seeking an experienced Data Engineer to join our agile team on a full-time remote basis. This role is ideal for a professional who thrives in solving complex data challenges and takes full ownership from design through to delivery. As a key member of our engineering team, you will be responsible for building and maintaining scalable data pipelines utilizing Microsoft Azure Fabric. The position offers the flexibility to work from anywhere in India, making it perfect for someone seeking a remote work environment.





The successful candidate will leverage AI to enhance engineering productivity, collaborate closely with both business and technical stakeholders, and contribute to the development of enterprise-grade data solutions. This role requires a proactive mindset, a passion for innovation, and the ability to adapt quickly to changing requirements and priorities.

Qualifications

5+ years of hands-on experience as a Data Engineer, demonstrating a strong track record of designing and implementing data solutions.
Extensive experience working with Microsoft Azure Fabric, Databricks, and Azure Data Services.
Solid understanding of SQL, data modeling concepts, and data architecture best practices.
Proven experience in building enterprise-grade data pipelines, data integration solutions, and handling both structured and unstructured data.
Proficiency in programming languages such as Python, Spark, or similar technologies.
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