What you ’ll do
- Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to play an essential role in the data engineering team to enable scalable and repeatable metrics and analytics.
- Collaborate closely with other data scientists and investment analysts, to understand data needs and deliver scalable data pipelines and frameworks.
- Ingest, process, and normalize large volumes of structured and unstructured data from a variety of sources.
- Optimize performance of data pipelines and ensure high availability, reliability, and data quality across all production systems.
- Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
- Support the integration of third-party data vendors and APIs into the broader data ecosystem.
- Continuously evaluate and implement new tools and technologies to improve data engineering capabilities, with a focus on cloud-native and distributed processing frameworks.
What’s required
Bachelor’s or Master’s degree in computer science, engineering3–6 years of professional experience in data engineering or a similar role, ideally within a financial services.Expertise in Databricks, including Spark (PySpark or Scala), Delta Lake, and notebook-based development workflows.Proficiency in building scalable, distributed data pipelines in a cloud environment (preferably Azure or AWS).Solid understanding of data architecture principles, data modeling, and data warehousing.Experience with version control (e.g., Git), CI / CD workflows, and modern data orchestration tools (e.g., Airflow, dbt).Demonstrated ability to work collaboratively in a fast-paced, high-stakes environment with both technical and non-technical stakeholders.Commitment to the highest ethical standardsAbout Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t .