About The Company EazyML, recognized by Gartner, is a leading organization specializing in Responsible AI solutions. Our mission is to facilitate proactive compliance, sustainable automation, and ethical AI deployment across various industries.

Established with a focus on innovation, EazyML collaborates with breakthrough startups such as Amelia.ai, positioning itself at the forefront of AI technology and responsible data practices. Our team is dedicated to developing cutting-edge tools that empower organizations to harness AI responsibly while ensuring transparency, fairness, and compliance with evolving regulations.

We are committed to fostering a dynamic and inclusive work environment where creativity, collaboration, and continuous learning are valued. Our remote-first culture allows talented professionals across India to contribute meaningfully from anywhere, promoting work-life balance and flexibility. Join us to be part of a visionary company that is shaping the future of Responsible AI and data-driven automation.

About The Role We are seeking an experienced Data Engineer to join our cutting-edge team on a full-time remote basis. This role is ideal for a professional who thrives on solving complex data challenges, taking ownership from initial design through to deployment and maintenance. As a Data Engineer at EazyML, you will be instrumental in building and maintaining scalable data pipelines on Microsoft Azure Fabric, enabling our AI-driven solutions to operate efficiently and reliably.

You will collaborate closely with both business and technical stakeholders to understand data requirements, develop robust data integration solutions, and optimize workflows for performance and cost-efficiency. Your expertise will directly impact the quality and scalability of our AI products, helping clients achieve responsible and sustainable automation.



The role offers an exciting opportunity to work at the intersection of data engineering, AI, and responsible technology, contributing to projects that have a meaningful societal impact.

Qualifications

- 5+ years of hands-on experience as a Data Engineer, with a proven track record of developing enterprise-grade data solutions.
- Strong expertise with Microsoft Azure Fabric, Databricks, and Azure data services such as Data Factory, Data Lake, and Synapse Analytics.
- Solid understanding of SQL, data modeling concepts, and data architecture best practices.
- Experience designing and implementing scalable, reliable data pipelines and data integration solutions for structured and unstructured data.
- 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 security.

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 diverse data types, supporting analytics, AI, and reporting needs.
- Collaborate with business teams to gather requirements, translate them into technical specifications, and deliver solutions that meet organizational goals.
- Optimize data processing workflows for performance, scalability, and cost-effectiveness,



leveraging AI-assisted tools and modern engineering practices.
- Troubleshoot and resolve production issues proactively, ensuring minimal downtime and data integrity.
- Work closely with data architects, analysts, and developers throughout the project lifecycle, providing technical guidance and best practices.
- Apply automation and AI techniques to enhance data engineering processes, improve productivity, and deliver high-quality solutions.
- Maintain documentation and ensure adherence to data governance and security policies.

Benefits At EazyML, we believe in rewarding our team members with competitive benefits that support their professional growth and personal well-being. As part of our remote-first culture, you will enjoy flexible working hours, allowing you to maintain a healthy work-life balance. We offer comprehensive health insurance, paid time off, and opportunities for continuous learning through training programs and conferences. Our collaborative environment fosters innovation, and you will have access to cutting-edge tools and technologies to advance your skills. Additionally, we promote a culture of transparency, recognition, and inclusivity, ensuring every team member feels valued and empowered to contribute to our shared mission of responsible AI development.

Equal Opportunity

EazyML is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone is respected, valued, and provided with equal opportunities to succeed. We do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law.

We believe that diverse perspectives drive innovation and help us achieve our mission of responsible AI solutions.

📌 Data Engineer (India)
🏢 FetchJobs.co
📍 India