Azure Lead Data Engieer

**Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.**

At **Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.**

Roles and Responsibilities:

• Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Storage solutions.
• Collaborate with cross-functional teams to identify business requirements and design scalable data architectures that meet those needs.
• Develop complex SQL queries to optimize database performance and troubleshoot issues in Azure Databricks environments.
• Lead a team of junior engineers in the development of AI/ML models using Python programming language.

Job Requirements :

• 8-13 years of experience in IT Services & Consulting industry as an AI Engineer or similar role.
• Strong expertise in artificial intelligence, machine learning algorithms, and their application in real-world scenarios.
• Proficiency in working with big data technologies such as Hadoop Distributed File System (HDFS), Spark Core, etc.