EazyML, recognized by Gartner, specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai. We are committed to leveraging cutting-edge technology to deliver innovative AI-driven solutions that empower organizations to operate ethically and efficiently. Our team is dedicated to fostering a collaborative and inclusive environment where creativity and technical excellence thrive. As a forward-thinking company, we prioritize continuous learning and development, ensuring our employees stay at the forefront of AI and data engineering advancements.
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 enjoys tackling complex data challenges and taking ownership from initial design through to deployment. As a key member of our data engineering team, you will be responsible for building and maintaining scalable data pipelines on Microsoft Azure Fabric,
optimizing data workflows, and collaborating closely with both technical and business stakeholders. The position offers flexibility to work from anywhere within India, providing a unique opportunity to contribute to innovative AI solutions in a remote setting.
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 Azure data services such as Azure Data Factory, Azure Data Lake, and Azure SQL.
Deep understanding of SQL, data modeling concepts, and data warehousing techniques.
Proficiency in building robust data pipelines, ETL/ELT processes, and data integration solutions for structured and unstructured data.
Knowledge of programming languages such as Python, Spark, or similar technologies is preferred.
Experience working
📌 Senior Data Engineer (India)
🏢 Netrolynx AI
📍 India
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