AI & Data Integration Specialist

Company Description The Quantium School is an innovative learning environment where curiosity, strong values, and real-world exploration are central to education. The school focuses on helping each learner grow into a thoughtful, confident, and future-ready individual. Its approach encourages responsible use of knowledge and technology to drive meaningful change. Team members collaborate to design learning experiences that connect academic rigor with practical application and ethical perspectives. Working at The Quantium School offers the opportunity to shape education that prepares young people for a complex, data-driven world.

Role Description The AI & Data Integration Specialist is a full-time on-site role based in Hyderabad. This position is responsible for designing and implementing data integration pipelines that support AI-driven insights for academic, operational, and strategic initiatives. Day-to-day tasks include building and maintaining ETL processes, developing data models, and managing data warehousing environments to ensure accurate, timely, and secure data flows. The specialist collaborates with educators, administrators, and technical staff to translate learning and operational needs into data solutions, integrate multiple data sources, and optimize systems for reporting and analytics. The role also involves monitoring data quality, documenting data architectures, and contributing to continuous improvement of the schools data and AI capabilities.

Qualifications

• Candidates should possess strong analytical skills to interpret complex data, identify trends, and support data-driven decision-making.
• Candidates should possess data integration and Extract Transform Load (ETL) skills to design, develop, and maintain robust data pipelines across multiple systems.
• Candidates should possess data modeling and data warehousing skills to create scalable structures that support reporting, analytics, and AI applications.
• Candidates should ideally have experience with SQL and one or more programming languages commonly used for data work (such as Python or R).
• Candidates should have familiarity with AI or machine learning concepts, and experience working with BI or analytics tools is beneficial.
• Candidates should demonstrate strong communication skills, the ability to collaborate with non-technical stakeholders, and a commitment to ethical and responsible use of data.
• A bachelors degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent practical experience, is preferred.