At AIG, we are reimagining the way we help customers to manage risk. Join us as a Data Engineering, Senior Associate to play your part in that transformation. It’s an opportunity to grow your skills and experience as a valued member of the team. Make your mark in Information Technology At AIG, technology is at the heart of everything we do, from underwriting risks to processing claims. The Information Technology team equips our colleagues with the latest tools to complete their work efficiently and with the highest standards of excellence. The team is responsible for shielding the company’s systems from security risks, while designing technology strategies that enable AIG’s businesses to achieve their goals. AIG’s Information Technology functions include enterprise architecture, software and systems engineering, cybersecurity, and technology risk and compliance. How you will create an impact We are seeking a Data Engineer with 5 years of experience in building robust data solutions. The candidate will collaborate with various project teams on multiple ongoing activities, including tasks that may extend beyond standard service level agreements. Work closely with business teams to understand requirements and support data needs Perform data analysis, manage ad-hoc data requests, and ensure high-quality data availability to drive data-driven decision making Develop and maintain data pipelines across diverse environments (Snowflake, Oracle Exadata, SSIS, etc.) Collaborate with multiple teams to deliver data solutions for Artificial Intelligence, Machine Learning, and business intelligence initiatives Collaborate with cross-functional teams to deliver high-quality, scalable, and secure data products. Conduct data and system analysis to identify and resolve defects, ensuring smooth data flow. Write and fine tune advanced SQL scripts, stored procedures, and queries for large scale datasets. Develop Python-based data processing to streamline data workflows. Perform data quality assessments, cleansing, and transformation to ensure data integrity. Conduct data and system analysis to identify and resolve defects, ensuring smooth data flow.