About The Company

EazyML, recognized by Gartner, is a leading innovator in the field of Responsible AI. Our company specializes in developing advanced solutions that facilitate proactive compliance, sustainable automation, and ethical AI deployment. At EazyML, we are committed to pushing the boundaries of artificial intelligence to create impactful and trustworthy systems. Our collaborations with breakthrough startups like Amelia.ai exemplify our dedication to pioneering technology and delivering cutting-edge AI solutions that address real-world challenges. With a focus on responsible AI practices, we aim to empower organizations to harness the full potential of data-driven insights while maintaining transparency, fairness, and accountability.

About The Role

We are seeking a highly skilled and experienced Data Engineer to join our dynamic team on a full-time remote basis. This role is ideal for professionals who thrive on solving complex data problems and taking ownership from the initial design phase through to successful delivery. As a Data Engineer at EazyML, you will be instrumental in building scalable data pipelines, leveraging AI to enhance engineering productivity, and collaborating closely with both business and technical stakeholders to deliver impactful data solutions. You will work remotely from anywhere in India, contributing to our mission of responsible AI development and deployment.

Qualifications

- Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a strong track record of delivering enterprise-grade data solutions.
- Extensive experience with Microsoft Azure Fabric, Databricks, and other Azure data services, showcasing deep technical expertise.




- Solid understanding of SQL, data modeling concepts, and data warehousing principles.
- Proven experience in designing and implementing robust data pipelines and data integration solutions for large-scale environments.
- Proficiency in programming languages such as Python, Spark, or similar technologies, with a focus on data processing and automation.
- Experience working with cloud-based data platforms in production environments, ensuring reliability and scalability.

Responsibilities

- Design, develop, and maintain scalable and reliable data pipelines utilizing Microsoft Azure Fabric, ensuring high performance and efficiency.
- Build and optimize ETL/ELT processes for both structured and unstructured data sources, enabling seamless data integration across systems.
- Collaborate with business teams to understand data requirements, translating them into technical solutions that support strategic objectives.
- Continuously evaluate and enhance data processing workflows to improve performance, scalability, and cost-efficiency.
- Leverage AI-assisted development tools and modern engineering practices to accelerate delivery timelines and improve solution quality.
- Monitor production environments, troubleshoot issues proactively, and implement improvements to ensure operational stability.




- Work closely with architects, data analysts, and other developers throughout the project lifecycle, fostering a collaborative environment.

Benefits

At EazyML, we value our employees and offer a comprehensive advantages package designed to support your skilled and personal growth. As part of our team, you will have access to flexible remote working arrangements, allowing you to work from anywhere in India. We provide competitive salary packages aligned with industry standards, along with health insurance coverage to ensure your well-being. Additionally, you will benefit from opportunities for continuous learning and development, including access to cutting-edge tools and technologies. Our collaborative work culture fosters innovation and encourages proactive problem-solving, giving you the platform to make a meaningful impact in the AI space. We also promote work-life balance through flexible working hours and support initiatives that enhance employee engagement and satisfaction.

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, gender, age, religion, national origin, sexual orientation, disability, or any other protected characteristic. Our hiring practices are designed to ensure fairness and equal opportunity for all qualified candidates. We believe that a diverse workforce fosters innovation, creativity, and a stronger organizational culture, and we are dedicated to providing a workplace where everyone can thrive and succeed.

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