Data Engineer
- Employer
- Finance Network
- Location
- New York, USA
- Salary
- 150,000-180,000
- Closing date
- Aug 25, 2022
View more
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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• Design and implement software for data integration, validation, and monitoring.
• Build data pipeline to onboard datasets from external vendors.
• Work with portfolio managers and researcher to design and implement proprietary data sets.
• Analyze and extract information from datasets to support trading and risk management.
• Provide second level production support for data-related issues.
• Design and implement analytic systems to track and manage data availability, access control, and usage statistics.
• Improve infrastructure of the data platform.
• Design and implement client facing web services.
Requirements:
• Build data pipeline to onboard datasets from external vendors.
• Work with portfolio managers and researcher to design and implement proprietary data sets.
• Analyze and extract information from datasets to support trading and risk management.
• Provide second level production support for data-related issues.
• Design and implement analytic systems to track and manage data availability, access control, and usage statistics.
• Improve infrastructure of the data platform.
• Design and implement client facing web services.
Requirements:
- Degree in a quantitative or technical field.
- At least 3 years of relevant experience.
- Demonstrated experience with Python (required), C++ or other major programming languages
- Experience with relational database (SQL Server, PostgreSQL, etc.).
- Knowledge of symbology and reference data across assets classes and data vendors.
- Experience working under Linux environment.
- Knowledge of concepts in math and statistics.
- Knowledge of cloud environment such as Azure.
- Knowledge of financial datasets for equity, futures, credit, index, or others.
- Knowledge of open source tools such as Kafka, Airflow.
- Comfortable working in a fast-paced environment, detail-oriented, capable of performing tasks under pressure.
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