Develop microservices and REST APIs for sharing with other risk rule engines

Build data pipeline infrastructure using LET and data warehousing

Develop business capabilities on top of the data pipeline infrastructure

Create technical, operational, and management level reports and dashboards using Clouds and Monitoring tools

Collaborate with cross-functional teams to understand business requirements and user needs

Participate in design reviews, offering input on requirements, product design, and potential challenges

A minimum of 3 years of experience in Data Software Engineering, demonstrating your proficiency in developing data pipelines and REST APIs

Strong experience with Python and AWS services (AWS Glue, Amazon S3, Amazon EMR, AWS Lambda, AWS Simple Notification Service, Amazon Kinesis), enabling you to build high-quality data pipelines and dashboards

Experience with Apache Airflow and Databricks, allowing you to schedule business processes effectively

Experience with Load, Extract, Transform (LET) and data warehousing, demonstrating your ability to build scalable data pipelines

Excellent communication skills and ability to collaborate with cross-functional teams

Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication

Experience with Apache Kafka or other messaging systems

Experience with containerization technologies such as Docker and Kubernetes

Understanding of financial services and investment products