Requirements

• 5+ years of IT industry experience
• Experience working with Python data orchestration tools like Dagster or Airflow/Luigi or similar technology stack
• Deep knowledge of the Python data science stack (Pandas, NumPy, SciPy, Jupyter)
• Experience with common Big Data technologies like Hadoop Ecosystem, PyFlink, PySpark, Pulsar, Kafka or the equivalent stacks
• Experience building sophisticated data & analytics products at scale
• Experience with database security best practices and performance tuning on very large data
• Experience deploying reliable, scalable cloud-based platforms on Kubernetes
• Comfort working with data scientists & quantitative researchers

SKILLS DESIRED

• Azure cloud deployment experience Knowledge of the digital asset market or traditional markets (Equities, FX and Fixed Income) Experience building risk management systems and integrating with quant models Experience architecting market data, exchange connectivity, algorithmic execution, smart order routing and other institutional-grade trading infrastructure
• Azure cloud deployment experience
• Knowledge of the digital asset market or traditional markets (Equities, FX and Fixed Income)
• Experience building risk management systems and integrating with quant models
• Experience architecting market data, exchange connectivity, algorithmic execution, smart order routing and other institutional-grade trading infrastructure.