FetchJobs.co
Company:
https://www.linkedin.com/company/fetchjobs-co
Seniority: Associate
Industries: Technology, Information and Media
Job details:
About The Company
EazyML, recognized by Gartner, specializes in Responsible AI solutions that enable organizations to achieve proactive compliance and sustainable automation. Founded with a vision to transform AI deployment, EazyML leverages cutting-edge technologies to deliver innovative data-driven solutions. The company collaborates with breakthrough startups such as Amelia.ai, positioning itself at the forefront of AI innovation and responsible technology adoption. With a focus on empowering businesses through scalable and ethical AI practices, EazyML is committed to fostering a culture of continuous improvement, technical excellence, and responsible innovation.
About The Role
We are seeking an experienced Data Engineer to join our dynamic team in a full-time remote capacity. This role is ideal for a professional who thrives on solving complex data challenges and takes full ownership of their work from design to delivery. As a Data Engineer at EazyML, you will be instrumental in building scalable data pipelines on Microsoft Azure Fabric, leveraging AI to enhance engineering productivity, and collaborating closely with both business and technical stakeholders to deliver impactful data solutions. The position offers the flexibility to work from anywhere within India, enabling a healthy work-life balance while contributing to innovative projects that shape the future of Responsible AI.
Qualifications
- Minimum of 5+ years of hands-on experience as a Data Engineer, with a proven track record of delivering enterprise-grade data solutions.
- Extensive experience working with Microsoft Azure Fabric, Databricks, and other Azure data services.
- Strong proficiency in SQL and comprehensive understanding of data modeling concepts.
- Demonstrated ability to design, develop, and maintain scalable data pipelines and integration solutions.
- Proficiency in programming languages such as Python, Spark, or similar technologies preferred.
- Experience working with cloud-based data platforms in production environments, ensuring reliability and performance.
Responsibilities
- Design, develop, and maintain scalable, reliable data pipelines utilizing Microsoft Azure Fabric to support business needs.
- Build and optimize ETL/ELT processes for both structured and unstructured data sources, ensuring data quality and consistency.
- Collaborate with business teams to gather requirements and translate them into effective technical solutions.
- Implement performance tuning, scalability improvements, and cost-effective strategies for data workflows.
- Leverage AI-assisted development tools and modern engineering practices to accelerate delivery and enhance solution quality.
- Troubleshoot and resolve production issues promptly, while proactively identifying areas for process improvement.
- Work closely with architects, analysts, and fellow developers throughout the project lifecycle to ensure seamless integration and deployment.
- Maintain documentation and adhere to best practices in data engineering and security standards.
Benefits
At EazyML, we value our team members and offer a comprehensive benefits package designed to support your professional and personal growth. As part of our remote workforce, you will enjoy flexible working hours and the opportunity to work from anywhere within India. We provide competitive compensation packages, ongoing learning opportunities, and access to cutting-edge tools and technologies. Our collaborative environment encourages innovation, continuous development, and knowledge sharing. Additionally, we promote a healthy work-life balance, recognizing the importance of personal well-being and professional fulfillment.
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 legally protected status. Our hiring practices are rooted in merit and the belief that diverse teams drive innovation and success. We encourage candidates from all backgrounds to apply and join us in our mission to advance Responsible AI through innovative data engineering solutions.
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