Sr ETL Datawarehouse Specialist
NYC, NY (Only local to NJ/NY)
- Design and develop robust, scalable software solutions for acquiring, analyzing, and cleansing time series data.
- Enhance existing systems to improve performance, add functionalities, and integrate new technologies to enable easy access to time series data and metadata for both end users and systems
- Implement algorithms for time series analysis, trend detection, and anomaly detection.
- Lead engineers responsible for daily support and project-based development of risk management systems.
- Lead and mentor junior engineers and team members, fostering an environment of innovation and continuous improvement.
- Implement best practices in software development, including DevOps.
- Collaborate with cross-functional teams to align system development with the company's strategic goals.
- Uphold and advocate for high standards in code quality, testing, and maintainability.
Requirements:
- 8+ years of experience in IT with more than 5 years in financial projects (preferably in the area of Market Risk)
- Expertise in Python and C# or Java with automated testing
- Strong experience in SQL and database programming (preferably MS SQL Server)
- Good understanding of ETL/ELT and DWH concepts with hands on experience using ETL/ELT tools.
- Strong testing and troubleshooting skills.
- Experience with Git, Jira, Confluence, Jenkins, and other DevOps tools
- Functional expertise in time series management including fitting curves and vol surfaces.
- Good communication and presentation skills