Senior Data Engineer
4 weeks ago
Our client, an innovative Investment Management Platform managing over $2 billion in assets, is seeking a Senior Data Engineer to join their team. In this role, you will develop and maintain tools that support trading and portfolio analysis processes. You will build ETL pipelines, centralize MongoDB and PostgreSQL databases, and scale data structures for investment strategy analysis and simulations. This is an excellent opportunity for someone passionate about working with cutting-edge technologies in the finance industry.
Primary Responsibilities:
- Develop and maintain ETL pipelines for investment strategy analysis and simulations
- Centralize and manage MongoDB and PostgreSQL databases
- Build and optimize tools to support trading and portfolio analysis processes
- Collaborate with cross-functional teams to design scalable data structures
- Perform data analysis, data ingestion, and data integration to drive insights
- Write unit tests to ensure the reliability and functionality of systems
- Stay current with advancements in data engineering technologies
- Bachelor's degree in Computer Science or a related field
- 7+ years of professional experience in a Data Engineering role
- Expertise in Python3, Numpy, Pandas, Flask
- Experience with MongoDB, PostgreSQL, and modern data stacks
- Strong background in building ETL pipelines and data integration
- Familiarity with Linux-based operating systems (Debian/Ubuntu)
- Experience with data analysis, data ingestion, and data storage
- Solid understanding of software engineering principles and unit testing
- Bachelor's degree in Computer Science or a related field (or equivalent experience)
- Professional development and career growth opportunities
- Dynamic and collaborative work environment
- On-site role (4 days a week) in Beverly Hills office
- Comprehensive benefits package, including 401k with matching, medical, dental, and vision coverage
- 14 days of PTO, floating holidays, and a variety of team-building events such as holiday parties and happy hours
Primary Responsibilities:
- Develop and maintain ETL pipelines for investment strategy analysis and simulations
- Centralize and manage MongoDB and PostgreSQL databases
- Build and optimize tools to support trading and portfolio analysis processes
- Collaborate with cross-functional teams to design scalable data structures
- Perform data analysis, data ingestion, and data integration to drive insights
- Write unit tests to ensure the reliability and functionality of systems
- Stay current with advancements in data engineering technologies
- Bachelor's degree in Computer Science or a related field
- 7+ years of professional experience in a Data Engineering role
- Expertise in Python3, Numpy, Pandas, Flask
- Experience with MongoDB, PostgreSQL, and modern data stacks
- Strong background in building ETL pipelines and data integration
- Familiarity with Linux-based operating systems (Debian/Ubuntu)
- Experience with data analysis, data ingestion, and data storage
- Solid understanding of software engineering principles and unit testing
- Bachelor's degree in Computer Science or a related field (or equivalent experience)
- Professional development and career growth opportunities
- Dynamic and collaborative work environment
- On-site role (4 days a week) in Beverly Hills office
- Comprehensive benefits package, including 401k with matching, medical, dental, and vision coverage
- 14 days of PTO, floating holidays, and a variety of team-building events such as holiday parties and happy hours
Specialization: Software Engineering Python Data Engineering
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