- 5+ years experience with Python, SQL, Snowflake, ETL, and AWS
- Develop and maintain resilient data solutions for fraud detection; participate in full development lifecycle within an agile team
Looking for 5 + years of experience As a senor data engineer your role will be to create and deliver high quality, resilient data solutions to our Fraud business partners and being a productive member of the development team. You will be working on various existing and recent technology stacks which include on-prem relational and big-data technologies & new cloud-based technologies in AWS and Azure. You will be expected to share ownership of our projects and contribute to the active development and maintenance of our applications.
You will have the opportunity to be exposed to modern software engineering tools and best practices. You will have the opportunity to be exposed to how a large investment bank like Morgan Stanley detects and prevents fraud. You will work in a dynamic agile team that uses Scrum for its workflow.
You will be expected to be involved in the full development lifecycle. You will be expected to collaborate with others in the wider team as well as working on your own initiative.
Skills Required
- 5+ years of relevant work experience
- Strong with programming in Python
- Strong SQL skills
- Strong experience in snowflake, ETL, AWS