About The Company EazyML, recognized by Gartner, is a pioneering organization specializing in Responsible AI. Our innovative solutions enable organizations to achieve proactive compliance, sustainable automation, and ethical AI deployment. We are committed to transforming the AI landscape by providing cutting-edge tools and services that promote transparency, fairness, and accountability in AI systems.

Our collaborations with breakthrough startups like Amelia.ai underscore our dedication to advancing AI technology responsibly and effectively. At EazyML, we foster a culture of innovation, continuous learning, and impact-driven work, empowering our team members to contribute meaningfully to the future of AI.

About The Role We are seeking a highly skilled and experienced Data Engineer to join our remote team in India. This full-time role is ideal for a professional who thrives on solving complex data challenges and takes full ownership from design to delivery. As a Data Engineer at EazyML, you will play a critical role in building scalable data pipelines and leveraging AI to enhance engineering productivity.

Your expertise will enable us to deliver high-quality data solutions that support our Responsible AI initiatives. The successful candidate will work closely with both business and technical stakeholders, translating requirements into robust data architectures and processes. This position offers the flexibility of remote work, allowing you to contribute from anywhere in India, while collaborating with a global team to drive impactful AI-driven projects.

Qualifications - Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a robust track record in data pipeline development and management.





- Extensive experience with Microsoft Azure Fabric, Databricks, and other Azure data services, with a solid understanding of cloud-based data architectures.
- Proficiency in SQL and a thorough understanding of data modeling concepts to design efficient and scalable data solutions.
- Proven experience in building enterprise-grade data pipelines and data integration solutions that handle both structured and unstructured data.
- Strong programming skills in Python, Spark, or similar technologies, with the ability to implement complex data processing workflows.
- Experience working with cloud-based data platforms in production environments, ensuring reliability, security, and performance.

Responsibilities - Design, develop, and maintain scalable and reliable data pipelines using Microsoft Azure Fabric, ensuring data quality and consistency.

- Build and optimize ETL/ELT processes to handle diverse data types and sources, supporting analytical and operational needs.
- Collaborate with business teams to understand data requirements, translating them into effective technical solutions and architectures.
- Implement best practices for data processing workflows, focusing on performance, scalability, and cost-efficiency.
- Leverage AI-assisted development tools and modern engineering practices to accelerate delivery and improve solution quality.




- Troubleshoot and resolve production issues promptly, and proactively identify opportunities for system improvements.
- Work closely with architects, analysts, and other developers throughout the project lifecycle to ensure seamless integration and delivery.
- Maintain documentation and adhere to data governance and security policies to ensure compliance and data integrity.

Benefits At EazyML, we offer a comprehensive benefits package designed to support your professional growth and personal well-being. As part of our team, you will have access to flexible remote working arrangements, enabling a healthy work-life balance. We provide competitive compensation packages, along with opportunities for continuous learning and development through training programs and industry conferences.

Our culture promotes innovation, collaboration, and transparency, fostering an setting where your ideas and contributions are valued. Additionally, we offer health insurance coverage, paid time off, and performance-based incentives to ensure our team members feel supported and motivated to excel in their roles.

Equal Opportunity EazyML is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other protected status. We believe that diverse perspectives and backgrounds drive innovation and excellence, and we are dedicated to creating a welcoming setting where all employees can thrive and contribute to our mission of advancing Responsible AI.

📌 Senior Data Engineer (India)
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