Data Engineer

Title: Data Engineer w/ PythonLocation: New York (3 days onsite)Duration: 12mth+Pay: Open to market rate on W2 Job Description:Develop and maintain the Credit and Converts analytics library and trading infrastructure made up of vendor and internally developed platformsWork closely with business users and platform developers to deliver cutting-edge software solutionsDesign a robust holistic process for scheduling and monitoring resources across the platform that integrates with existing proprietary applicationsPartner with other teams within BAM to define and employ best practices for streamlining technology, integration, API development and releases.Strike a balance along the dimensions of feasibility, stability, scalability, and time-to-market while delivering solutionsPerform with minimum supervision and exercise sound judgmentDesire to work in a collaborative environment, enhancing a shared toolsetHelp identify and automate manual processesQUALIFICATIONS & REQUIREMENTS:Degree in Computer Science or a closely related field3+ years of professional software development experience. Financial knowledge in Credit a big plusVery good knowledge relational databases and experience of writing production queries against one or more SQL DBMS, such as PostgreSQLExperience of working with real-time market data, historical time-series data is an advantageDeep expertise in Python. C++ is a plus.Experience with AWS, Redis, Kubernetes, Kafka, React or other server-side technologies is a plusExperience working in Agile Development / SCRUM MethodologiesExperience with basic DevOps techniques, including CI/CD and infrastructure-as-code, a plusHigh degree of accuracy and attention to detailAnalytical skills – Ability to troubleshoot and logically assess problems and determine solutionsDocumentation skills – ability to represent ideas, requirements, and problems in clear and concise documents