Information Technology Specialist

THIS ROLE IS AT THE PRINCETON LOCATION AND WILL FOLLOW A HYBRID WORK SCHEDULE- 2 DAYS IN OFFICE/3 DAYS WFH. ASSIGNMENT WILL BE SIX MONTHS. -Design and build automated solutions for the validation of large data sets that would otherwise require manual effort -Partner with subject matter experts on both data and engineering teams to troubleshoot suspect data results -Write clean and readable code and optimized SQL queries. -Export results of analysis into Microsoft Excel or Google Sheets -Provide detailed analysis on data We are looking for a Data Engineer to support data validation and analysis for a backend replatform project. This role will allow us to accelerate the feedback loop between data and engineering teams in order to deliver the full scope of financial market data with the required timeliness, accuracy and completeness to satisfy product needs. This role is at the Princeton location and will follow a hybrid schedule. -Technical degree or equivalent experience, preferably in combination with a Finance or Business field -2+ years of experience in SQL and Python with applications for data analysis. -Strong analytical skills for identifying data patterns and troubleshooting issues -Excellent written and verbal communication skills -Experience in delivery through agile practices -An openness to different views and opinions and an appreciation for team diversity -Experience with version control systems like Git preferred -Experience with cloud services including AWS and GCP preferred

Created: 2024-11-11