About The Company EazyML, recognized by Gartner, is at the forefront of Responsible AI innovation. Our company specializes in developing solutions that enable proactive compliance, sustainable automation, and ethical AI deployment.

We are committed to transforming how organizations leverage data and AI responsibly, ensuring transparency, fairness, and accountability in all AI-driven processes. EazyML collaborates with breakthrough startups like Amelia.ai and partners with industry leaders to deliver cutting-edge AI solutions that address real-world challenges. Our team is composed of passionate professionals dedicated to pushing the boundaries of AI technology while maintaining a strong focus on ethical standards and regulatory compliance.

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.

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 technical and business stakeholders. The successful candidate will have a deep understanding of cloud-based data platforms, particularly Microsoft Azure Fabric, and a passion for creating efficient, reliable data solutions that support our Responsible AI initiatives.

Qualifications

- Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a strong track record of designing and implementing data solutions.




- Extensive experience working with Microsoft Azure Fabric, Databricks, and other Azure data services.
- Solid understanding of SQL, data modeling, and data architecture principles.
- Proven ability to build enterprise-grade data pipelines and data integration solutions that handle both structured and unstructured data.
- Proficiency in programming languages such as Python, Spark, or similar technologies.
- Experience working with cloud-based data platforms in production environments, ensuring high availability and performance.

Responsibilities

- Design, develop, and maintain scalable and reliable data pipelines using Microsoft Azure Fabric to support various business and AI applications.
- Build and optimize ETL/ELT processes, ensuring data quality, integrity, and security across structured and unstructured datasets.
- Collaborate with business teams to gather requirements, translating them into technical specifications and solutions.
- Continuously monitor and troubleshoot data workflows, resolving issues promptly to minimize downtime and data inconsistencies.
- Implement AI-assisted development tools and modern engineering practices to accelerate project delivery and improve solution quality.




- Proactively identify opportunities for workflow optimization, cost reduction, and performance enhancement.
- Work closely with data architects, analysts, and software developers throughout project lifecycles to ensure seamless integration and deployment.
- Maintain documentation and adhere to best practices for data governance, security, and compliance standards.

Benefits At EazyML, we offer a comprehensive advantages package designed to support our employees' well-being and professional growth. As part of our team, you will enjoy flexible remote working arrangements, allowing you to work from anywhere in India. We provide competitive compensation packages aligned with industry standards, along with opportunities for continuous learning and development. Our benefits include health insurance coverage, paid time off, and a collaborative work environment that fosters innovation and creativity. We also promote a healthy work-life balance and encourage our team members to pursue their passions both inside and outside of work.

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 perspectives and experiences drive innovation and are essential to our success. All qualified candidates are encouraged to apply and will be considered based on merit and qualifications.

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