Senior Data Engineer, New York

Responsibilities:

• Analyze, design, code, test, configure, and modify software for the functional delivery of platforms and solutions using programming languages and development methodologies.
• Design, develop, test, debug, and implement platforms, solutions, software tools, and utilities to ensure acceptable performance and service levels.
• Build and manage automated delivery pipelines for platforms and solutions using source control, infrastructure as code, and continuous integration practices.
• Implement monitoring, alerting, logging, and tracing to ensure the durability, availability, and performance of platforms and solutions.
• Collaborate with the Data Warehouse Architect to ensure successful platform strategies.
• Design and optimize scalable data pipelines using technologies like Airflow, Snowflake, and AWS cloud services.
• Work closely with stakeholders to ensure platforms meet both business and technical requirements.
• Produce technical documentation, including testing, training, and delivery artifacts.

Requirements:

• 8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards.
• Proven experience with market and credit counterparty risk platforms (mandatory).
• Advanced proficiency in Python.
• Strong experience with AWS, Airflow, and Snowflake.
• Comfortable working in an agile delivery environment.
• Self-sufficient in a CI/CD environment, with hands-on experience automating deployments.
• Proven ability to contribute as an individual, including reviewing pull requests and ensuring quality code.
• Experience troubleshooting and debugging simple to complex issues.
• Strong interpersonal and organizational skills, with the ability to work collaboratively.