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

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About The Ro le

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 professional 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 solutio ns.

Qualificat ions

Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a solid track record of managing complex data proj ects.Extensive experience with Microsoft Azure Fabric, including designing and deploying data solutions on the plat form.Proficiency with Databricks and other Azure data services to develop and optimize data pipel ines.Solid understanding of SQL, data modeling concepts, and data architecture best pract ices.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 prefe rred.Experience working with cloud-based data platforms in production environments, ensuring reliability and scalabi lity.





Responsibi lities

Design, develop, and maintain scalable and efficient data pipelines using Microsoft Azure Fabric, ensuring seamless data flow across s ystems.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 up-to-date engineering practices and AI-assisted development tools to accelerate delivery timelines and improve solution q uality.Troubleshoot and resolve production issues promptly, proactively identifying areas for process impro vement.Work closely with architects, data analysts, and other developers throughout project lifecycles to ensure seamless integration and de livery.Maintain documentation and ensure adherence to best practices in data engineering and security sta ndards.

Benefits

At EazyML, we value our employees and offer a comprehensive benefits package designed to support your professional 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 competitive salary packages, health insurance, career 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 an d growth.

Equal O pportunity

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.

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