Timeseries Developer

Job Responsibilities:

• 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.
• Implement algorithms for time series analysis, trend detection, and anomaly detection.
• Implement best practices in software development, including DevOps.
• Collaborate with cross-functional teams to align system development.
• Uphold and advocate for high standards in code quality, testing, and maintainability.

Required Qualifications

• Overall 10+ years of experience in IT is required.
• 5+ years of experience working in financial projects.
• 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
• Hands on experience using ETL/ELT tools.
• Experience with Git, Jira, Confluence, Jenkins, and other DevOps tools
• Functional expertise in time series management including fitting curves and volatility surfaces.

Good to Have:

• Experience in Market risk is preferred.
• Experience with Databricks Delta lake, Delta live tables, PySpark and Snowflake.
• Experience with Xenomorph Timescape EDM+ or other vendor time series management products
• Hands-on experience with SSIS.

Job Types: Full-time, Contract

Salary: $70.00 - $75.00 per hour

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance

Experience level:

• 10 years
• 11+ years
• 9 years

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Timeseries: 3 years (Required)
• Python: 3 years (Required)
• C#: 3 years (Required)
• ETL/ELT: 4 years (Required)

Ability to Commute:

• Andes, NY 13731 (Preferred)

Ability to Relocate:

• Andes, NY 13731: Relocate before starting work (Preferred)

Work Location: In person