Description

You will design and develop scalable software solutions for acquiring, analyzing, and cleansing time series data. You own the release pipeline, applying DevOps best practices to maintain high code quality standards.

Responsibilities

• Design and build scalable systems for time series data acquisition and cleansing.
• Implement algorithms for trend detection, anomaly detection, and volatility surface fitting.
• Enhance existing systems to improve performance and integrate new technologies.
• Maintain rigorous code quality through automated testing and CI/CD pipelines.
• Collaborate with cross-functional teams to align system development with business needs.

Required Skills

• 10+ years of total IT experience, including 5+ years in financial projects.
• Expertise in Python and C# or Java.
• Strong SQL and database programming skills, preferably with MS SQL Server.
• Deep understanding of ETL/ELT and Data Warehouse (DWH) concepts.
• Hands-on experience with Git, Jira, Confluence, and Jenkins.
• Proficiency in automated testing frameworks.
• Functional expertise in time series management.

Preferred Skills

• Experience with Databricks Delta Lake, Delta Live Tables, PySpark, and Snowflake.
• Hands-on experience with SSIS and market risk.
• Experience with Xenomorph Timescape EDM+ or similar vendor time series products.

Key Skills

Education

Any graduate