About The Company EazyML, recognized by Gartner, is a leading innovator in the field of Responsible AI. Our company specializes in developing cutting-edge solutions that facilitate proactive compliance, sustainable automation, and ethical AI deployment.

Partnering with breakthrough startups like Amelia.ai, EazyML is committed to advancing AI technologies responsibly and effectively. Our mission is to empower organizations with reliable, scalable, and compliant AI-driven data solutions that drive business growth and innovation.

About The Role We are seeking an experienced 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 from design through to delivery.

As a key member of our engineering team, you will be responsible for building and maintaining scalable data pipelines utilizing Microsoft Azure Fabric. The position offers the flexibility to work from anywhere in India, making it perfect for someone seeking a remote work environment.

The successful candidate will leverage AI to enhance engineering productivity, collaborate closely with both business and technical stakeholders, and contribute to the development of enterprise-grade data solutions. This role requires a proactive mindset, a passion for innovation, and the ability to adapt quickly to changing requirements and priorities.

Qualifications

- 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 Azure Data Services.
- Solid understanding of SQL, data modeling concepts, and data architecture best practices.




- Proven experience in building enterprise-grade data pipelines, data integration solutions, and handling 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 reliability, scalability, and security.

Responsibilities

- Design, develop, and maintain scalable and efficient data pipelines using Microsoft Azure Fabric, ensuring data quality and integrity.
- Build reliable ETL/ELT processes to facilitate data ingestion, transformation, and storage for diverse data types.
- Collaborate with business teams to understand data requirements and translate them into technical solutions that meet organizational needs.
- Optimize data processing workflows for performance, scalability, and cost-efficiency, leveraging AI and automation tools.
- Apply modern engineering practices, including AI-assisted development, to accelerate project delivery and improve solution quality.
- Troubleshoot and resolve production issues promptly while proactively identifying opportunities for process improvements.
- Work closely with architects, analysts, and fellow developers throughout the project lifecycle to ensure seamless integration and deployment.
- Take ownership of your work, ensuring high standards of quality, adherence to timelines, and successful project outcomes.




- Utilize AI and automation to solve complex problems, enhance engineering productivity, and deliver creative solutions.
- Maintain proactive communication with stakeholders, raising risks early, asking clarifying questions, and keeping all parties informed of progress.
- Adapt quickly to evolving project requirements, adjusting priorities as necessary without compromising delivery commitments.
- Engage with global teams, including overlapping with U.S. East Coast hours when needed, to facilitate collaboration and knowledge sharing.

Benefits At EazyML, we value our employees and offer a comprehensive benefits package designed to support your professional growth and personal well-being. 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 company fosters a collaborative and innovative environment where your ideas and contributions are valued. Additionally, we support work-life balance initiatives and offer health and wellness benefits to ensure your overall well-being.

Equal Opportunity

EazyML is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We celebrate diversity and do not discriminate based on race, gender, age, religion, national origin, disability, sexual orientation, or any other characteristic protected by law. We believe that diverse teams drive innovation and success, and we strive to provide equal employment opportunities to all qualified candidates.

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