Deep technical expertise leveraging cloud technology best practices to deliver scalable big data solutions efficiently.
Experience using cloud providers and associated services – AWS/GCP/etc.
Familiarity working with or building data lakes using S3.
Familiarity building ETL pipelines.
Exposure to big data workflows and analytics tools (Databricks).
Experience working with big data storage (e.g. Hadoop, Cassandra, etc.).
Proficiency with one or more programming languages: Python or Scala.
Familiar with one or more analytic tools such as Tableau, Looker.
Experience building flexible solutions that can adapt quickly to changing requirements.
Ability to work in an entrepreneurial environment and be a self-starter.
Work in a fast-paced environment, collocated with data engineers, data scientists and portfolio managers.
Implement cutting edge data and analytical tools that can be leveraged by investment professionals.
Partner with the investment team to analyze business requirements, design and implement solutions that support the integration of alternative data into a discretionary investment process.
Define and shape future technology and research process.