EazyML, recognized by Gartner, specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai. We are committed to delivering innovative AI-driven solutions that empower organizations to harness data responsibly and efficiently. Our focus on responsible AI practices ensures that our clients can deploy advanced automation while maintaining ethical standards and regulatory compliance. At EazyML, we foster a culture of innovation, collaboration, and continuous learning, aiming to revolutionize the AI landscape with scalable and sustainable solutions.
About The Role
We are seeking an experienced Data Engineer for a full-time remote position based in India. The ideal candidate will have a passion for solving complex data problems and a strong ownership mindset, taking projects from design through to delivery. This role offers an exciting chance to work in a dynamic environment,
leveraging cutting-edge technologies such as Microsoft Azure Fabric to build scalable data pipelines. You will collaborate closely with both business and technical stakeholders to develop solutions that drive insights and operational efficiencies. The role requires a proactive approach to troubleshooting, optimizing data workflows, and applying AI tools to enhance engineering productivity. As part of our team, you will contribute to pioneering responsible AI initiatives that impact a broad range of industries.
Qualifications
Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a strong track record of building enterprise-grade data solutions.
Extensive experience with Microsoft Azure Fabric, Databricks, and other Azure data services.
Deep understanding of SQL and data modeling concepts, with the ability to design efficient data schemas.
Proven expertise in developing, deploying, and maintaining robust data pipelines and integration so
📌 Senior Data Engineer (India)
🏢 Netrolynx AI
📍 India
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