The firm is looking to extract insights from large, complex compliance-approved structured and unstructured data sets to support investment professionals.
Requirements
- Experience or demonstrated interest in big data technologies
- 3+ years of experience in Data Engineering or related field
- Strong experience in Python Development
- Experience with Spark or Scala
- Knowledge of/experience with graph databases is a plus
Responsibilities
- Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
- Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers
- Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies
- Build and support visualization and exploration capabilities around our big data sets
Other
- Excellent attention to detail, organization, and project management skills
- Superb business intuition and a solution orientated, methodological approach to problem solving
- Ability to collaborate and build relationships across multiple business units within the Firm
- People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
- Adherence to the highest ethical standards working closely with the Firm’s Compliance team
