A leading financial services company is seeking a Risk Data Engineer and Architect to design and implement cloud-native data solutions. This role involves modernizing risk data management using AWS, building scalable data pipelines, and collaborating with cross-functional teams. The ideal candidate will have a bachelor's degree in Computer Science or a related field and 5+ years of experience in data engineering, including strong skills in AWS, Python, and SQL. Join us to make meaningful contributions to risk management analytics.
Qualifications
5+ years of experience in data engineering or similar role.
Strong experience with end-to-end data architecture using AWS.
Excellent communication skills for translating technical concepts.
Responsibilities
Architect cloud-native data solutions using AWS services.
Build and optimize data pipelines using Python, PySpark, and SQL.
Drive modernization initiatives by migrating legacy systems to cloud.
Skills
Data governance
AWS services
Python
SQL
DevOps practices
Education
Bachelor’s degree in Computer Science, Information Systems, Engineering or related field
Tools
MySQL
AWS Redshift
Databricks
Job description
A leading financial services company is seeking a Risk Data Engineer and Architect to design and implement cloud-native data solutions. This role involves modernizing risk data management using AWS, building scalable data pipelines, and collaborating with cross-functional teams. The ideal candidate will have a bachelor's degree in Computer Science or a related field and 5+ years of experience in data engineering, including strong skills in AWS, Python, and SQL. Join us to make meaningful contributions to risk management analytics.