Data Engineer
Chimera Securities LLC
New York, new york
Job Details
Full-time
Full Job Description
**Please note that this position is required to work on-site at our New York City office location. A hybrid arrangement may be evaluated after the hiring process is complete.
As Chimera’s Lead Data Engineer, you will be responsible for architecting the Firm's data infrastructure from the ground up with a focus on accuracy, completeness, speed and security. This individual will work closely with the operations and technology teams to develop and implement a data solution for use within the Firm. The ideal candidate will have experience architecting at least one data system from the ground up and a strong background in data provisioning, administration, and manipulation. Excellent communication and technical skills with a focus on security and accuracy are a must.
Responsibilities:
- Design and implement a solution that combines and maintains multiple datasets for analysis within the Firm.
- Manage processes for data import, data quality, and system reliability
- Understand data sources and their details
- Collect initial and ongoing requirements
- Be the “go-to” person for system utilization and governance, including advising users on best practices
- Stay up to date on industry trends and technologies related to data engineering and analytics
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
- 3+ years of experience as a Data Engineer or in a similar role
- Experience provisioning and administrating data / machine learning infrastructure
- Experience with data-at-scale and Big Data Frameworks
- Experience building internal or external data apps / model building / ingestion / transformation etc.
- Experience with container-based development / infrastructure
- Strong Python and other high-level language fluency (C# and JavaScript are a plus)
- Strong Linux (and bash/sh/js) scripting experience
- Strong SQL/NoSQL skills
- Strong knowledge of Data Science fundamentals
Other Valued Qualifications:
- Demonstrated history mentoring and learning from colleagues
- Understanding of US Equities Markets and/or experience working with Equities Data
- Experience with Real-time Data
- Experience in a small company with cross-functional roles