About The Company EazyML, recognized by Gartner, is a leading organization specializing in Responsible AI solutions. Our mission is to facilitate proactive compliance and promote sustainable automation across various industries. We develop innovative AI-driven tools and platforms that empower organizations to implement ethical and transparent AI practices.

Our commitment to excellence and innovation has positioned us as a trusted partner for breakthrough startups like Amelia.ai, and our solutions are utilized globally to enhance operational efficiency and ethical AI deployment.

About The Role We are seeking an experienced and highly skilled Data Engineer to join our dynamic team on a full-time remote basis. This role is ideal for a skilled who thrives in solving complex data challenges and takes full ownership of projects from design to delivery. As a Data Engineer at EazyML, you will be responsible for building scalable data pipelines, leveraging AI to enhance engineering productivity, and collaborating closely with both business and technical stakeholders.

The position offers an excellent opportunity to work remotely from anywhere within India, contributing to cutting-edge Responsible AI initiatives and innovative data solutions.

Qualifications Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a strong track record of managing complex data projects.

Extensive experience with Microsoft Azure Fabric, including designing and deploying data solutions on the platform.

Proficiency with Databricks and other Azure data services to develop and optimize data pipelines.

Solid understanding of SQL, data modeling concepts, and data architecture best practices.

Experience in building enterprise-grade data pipelines and data integration solutions that handle both structured and unstructured data.

Proficiency in programming languages such as Python and Spark, or similar technologies, is preferred.

Experience working with cloud-based data platforms in production environments, ensuring reliability and scalability.





Responsibilities Design, develop, and maintain scalable and efficient data pipelines using Microsoft Azure Fabric, ensuring seamless data flow across systems.

Build reliable ETL/ELT processes to handle structured and unstructured data, supporting various analytical and operational needs.

Collaborate with business teams to gather data requirements and translate them into effective technical solutions that meet organizational goals.

Optimize data processing workflows to enhance performance, scalability, and cost-efficiency, leveraging AI and automation tools.

Apply modern engineering practices and AI-assisted development tools to accelerate delivery timelines and improve solution quality.

Troubleshoot and resolve production issues promptly, proactively identifying areas for process improvement.

Work closely with architects, data analysts, and other developers throughout project lifecycles to ensure seamless integration and delivery.

Maintain documentation and ensure adherence to best practices in data engineering and security standards.

Benefits At EazyML, we value our employees and offer a comprehensive benefits package designed to support your qualified growth and personal well-being. You will have the opportunity to work remotely from anywhere in India, providing flexibility and work-life balance. Our benefits include market-competitive salary packages, health insurance, professional development programs, and opportunities to work on innovative projects that have a meaningful impact on responsible AI deployment.

We foster an inclusive and collaborative work environment, encouraging continuous learning and growth.

Equal Opportunity EazyML is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse teams foster innovation and drive better solutions, and we are dedicated to providing equal employment opportunities to all qualified candidates.

📌 Data Engineer (India)
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