The Sr. Data Engineer will work on projects involving PySpark and Scala with a focus on data analysis and debugging. They will utilize their skills in Spark, GIT, and familiar CICD tools to manage the Big Data Application Life Cycle while ensuring efficient incident management using Control-M and Service Now.

The job requires a Business Analyst with extensive experience in credit risk and stakeholder management. Candidates should possess strong hands-on experience with Basel regulations and related metrics like PD, LGD, and EAD.

The role involves designing and maintaining large-scale data pipelines using AWS services, particularly Glue, while collaborating on ETL solutions.