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

We leverage cutting-edge technologies and innovative approaches to deliver impactful AI-driven products that empower organizations to operate ethically and efficiently. EazyML has established strategic partnerships with breakthrough startups like Amelia.ai, positioning itself at the forefront of AI innovation and responsible technology deployment. Our dynamic work environment fosters continuous learning, collaboration, and a passion for solving complex data challenges, making us a trusted partner for enterprises seeking to harness the power of AI responsibly.

About The Role We are seeking an experienced Data Engineer to join our remote team on a full-time basis. This role is ideal for a professional who enjoys tackling complex data problems, taking ownership from the initial design phase through to delivery and deployment.

As a Data Engineer at EazyML, you will be responsible for building scalable, reliable data pipelines on Microsoft Azure Fabric, ensuring seamless data integration and processing across various data sources. The successful candidate will work closely with both business and technical stakeholders to understand data requirements, develop solutions, and optimize workflows for performance, scalability, and cost-efficiency. This position offers the flexibility to work remotely from anywhere within India, providing a unique opportunity to contribute to innovative AI solutions from the comfort of your home.

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 various Azure data services such as Data Factory, Data Lake, and Synapse Analytics.
- Solid understanding of SQL, data modeling concepts, and data warehousing principles.
- Proven experience in building enterprise-grade data pipelines and data integration solutions for structured and unstructured data.
- Proficiency in programming languages such as Python, Spark, or similar technologies preferred.
- Experience working with cloud-based data platforms in production environments, ensuring high availability and scalability.

Responsibilities

- Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric to support analytical and operational needs.
- Build reliable ETL/ELT processes to facilitate data ingestion, transformation, and storage for both structured and unstructured data sources.
- Collaborate with business teams to gather requirements, translate them into technical solutions, and ensure alignment with organizational goals.
- Optimize data workflows for performance, scalability, and cost-efficiency, leveraging automation and AI-assisted tools.
- Troubleshoot and resolve production issues promptly, proactively identifying areas for improvement and implementing best practices.
- Work closely with data architects, analysts,



and software developers throughout the project lifecycle to ensure seamless integration and delivery.
- Apply modern engineering practices, including automation and AI tools, to enhance development speed and solution quality.
- Maintain comprehensive documentation of data pipelines, workflows, and technical specifications for knowledge sharing and future reference.

Benefits At EazyML, we believe in supporting our employees through competitive benefits packages designed to promote work-life balance and professional growth. We offer adaptable remote work arrangements, allowing you to work from anywhere within India. Our comprehensive health insurance plans ensure your well-being is prioritized. We also provide opportunities for continuous learning and development through training programs, workshops, and conferences. Additionally, employees have access to a collaborative and inclusive work environment that encourages innovation, creativity, and career advancement. We recognize and reward excellence, fostering a culture where your contributions make a meaningful impact.

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, age, disability, or any other protected 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, and we are dedicated to fostering a workplace where everyone can thrive.

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