About The Company EazyML, recognized by Gartner, is a pioneering organization specializing in Responsible AI solutions. Our mission is to facilitate proactive compliance, sustainable automation, and ethical AI practices across various industries. We are committed to delivering innovative, scalable, and reliable AI-driven solutions that empower businesses to harness data responsibly.

Our company collaborates with breakthrough startups such as Amelia.ai and leverages cutting-edge technology to shape the future of AI and data engineering. At EazyML, we foster a culture of continuous learning, innovation, and integrity, ensuring our team remains at the forefront of AI advancements and data management best practices.

About The Role We are seeking an experienced Data Engineer to join our dynamic team in a full time remote capacity within India. This role is ideal for a professional who thrives on solving complex data problems, taking ownership from design through to delivery, and working collaboratively with cross-functional teams. As a Data Engineer at EazyML, you will be responsible for building scalable data pipelines on Microsoft Azure Fabric, leveraging AI to enhance engineering productivity, and ensuring seamless data integration and processing across various platforms.

Your expertise will directly contribute to the development of responsible AI solutions that meet compliance standards and drive sustainable automation initiatives.

Qualifications Minimum of 5+ years of hands-on experience as a Data Engineer, with a proven track record of delivering enterprise-grade data solutions.





Extensive experience working with Microsoft Azure Fabric, Databricks, and other Azure data services.

Strong proficiency in SQL, data modeling concepts, and data warehousing principles.

Experience designing and implementing scalable, reliable data pipelines and data integration solutions.

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

Hands-on experience working with cloud-based data platforms in production environments, ensuring high availability and performance.

Responsibilities Design, develop, and maintain scalable data pipelines utilizing Microsoft Azure Fabric to support business analytics and AI initiatives.

Build and optimize reliable ETL/ELT processes for both structured and unstructured data sources.

Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.

Implement performance tuning, optimization, and cost-effective strategies for data processing workflows.

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

Troubleshoot and resolve production issues promptly, ensuring minimal disruption to data services.

Work collaboratively with data architects, analysts,



and developers throughout the project lifecycle to ensure seamless data flow and integration.

Proactively identify opportunities for automation and process improvements using AI and advanced tools.

Maintain documentation and ensure adherence to data governance and compliance standards.

Benefits At EazyML, we value our employees and offer a comprehensive benefits package designed to support your professional growth and well-being. This includes competitive salary packages, flexible remote working arrangements, and opportunities for continuous learning through training and development programs. You will have access to cutting-edge tools and technologies, fostering an environment of innovation.

Our collaborative culture encourages knowledge sharing, mentorship, and active participation in shaping the future of responsible AI. Additionally, we promote work-life balance and provide support for personal and career development to ensure our team remains motivated and engaged.

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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We believe that a diverse workforce enhances our ability to innovate and serve our clients effectively. All qualified applicants will receive consideration for employment without regard to any protected characteristic.

📌 Data Engineer (India)
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📍 India