Cross River is looking to build scalable data solutions to support both batch and real-time decisioning and analytics in the Fraud and AML space within a growing financial institution.
Requirements
- Proven experience with Palantir Foundry, Ontologies, applications, and workflows
- Strong background working in AWS cloud environments (Lake Formation, Glue, ECR, ECS, EMR, IAM, S3, Cloud Watch, and others)
- Experience using Git for version control and review processes
- Strong programming skills, with Python preferred
- Experience with Terraform for IaC
- Big Data skills centered around Spark
- Familiarity with table partitioning best practices
Responsibilities
- Design, develop, and maintain Palantir Foundry code bases for both batch and analytical processing
- Interact with the Cross River data lake using AWS services and technologies including Lake Formation, Glue, Iceberg, Hive, ECS, and Managed Airflow
- Work with Python to develop both in Palantir and in data pipelines feeding data into the lake
- Implement or advise on infrastructure-as-code using Terraform
- Manage code and versioning effectively using code and data branching in Palantir, backed by Git
- Participate in architectural discussions on workflow designs
- Ensure best practices around development and documentation
Other
- 5+ years of experience in Software Engineering, with a strong focus in the data engineering space
- Very strong problem-solving skills and an enthusiasm around delivering working, performant, and operationally-stable solutions
- Agile experience in either a Scrum or Kanban setting
