Data Engineer
1 month ago
Job Description
- Design, develop, and maintain PostgreSQL databases, ensuring high performance, reliability, and data integrity
- Implement and manage Change Data Capture (CDC) solutions to efficiently capture and process real-time data changes
- Optimize Python, PostgreSQL code for efficiency, scalability, and readability, following best practices and industry standards
- Gain an understanding of and contribute to the machine learning efforts of the firm
- Understand financial research processes/objectives and utilize technology to support them
- Implement robust testing methodologies to ensure program logic correctness and data integrity
- Work in an agile, collaborative environment with data engineers, data scientists, and financial analysts
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics or related field from an accredited college/university
- 3+ years of hands-on development experience with Python for data engineering
- 3+ years of experience with SQL, with a strong preference for PostgreSQL experience
- Proven track record of optimizing Python and PostgreSQL code for efficiency, scalability, and readability
- Experience with implementing robust testing methodologies to ensure program logic correctness and data integrity
- Knowledge of database best practices, including security, architecture, data governance, and optimization
- Understanding of Git and database version control
Preferred Qualifications
- Strong track record of developing clean, performant, and maintainable code in Python and PostgreSQL
- Deep knowledge of database best practices, including security, architecture, data governance, optimization, and seamless integration with Python codebases
- Extensive experience designing and implementing scalable, fault-tolerant ETL pipelines using Python and PostgreSQL
- Hands-on experience with Change Data Capture (CDC) solutions and their implementation in real-world scenarios
- Proven capability to work independently, take ownership of projects, and drive initiatives from concept to completion
- Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders
- Experience working in the financial industry or with financial research processes is a plus
- Passion for staying up-to-date with the latest trends and best practices in data engineering, machine learning, and related technologies, including proficiency with tools like dbt
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