about 5 hours ago
Responsibilities
- Own critical data infrastructure for financial datasets from conception to production.
- Design and build scalable data processing pipelines with low latency.
- Integrate heterogeneous financial datasets into reliable platforms.
- Collaborate with the Core AI team to ensure data quality and performance.
- Build secure and compliant integrations for enterprise customer data.
- Lead by example in coding and decision-making.
- Foster a culture of learning and ownership within the team.
Requirements
- Bachelor's in Computer Science or related field.
- 6+ years of professional software engineering experience.
- 4+ years of experience with GCP or equivalent cloud stack.
- Deep expertise in Python and proficiency in a strongly typed language.
- Mastery in designing large-scale distributed systems.
- Strong command of relational databases and SQL.
- Proven experience with large-scale data pipelines.
- 3+ years of experience with globally distributed engineering teams.
- Exceptional communication skills for technical concepts.
- Track record of shipping high-quality products in fast-moving environments.
- Demonstrated passion for corporate finance and financial data.
Benefits
- Strong product adoption with leading financial institutions.
- Work alongside a talented team in AI and finance.
- Engage in ambitious and consequential problems at scale.
- Real ownership of impactful projects.
- Work at the forefront of AI technology.