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VP - Snowflake Data Engineer - Risk Technology

Jefferies·Pune

Pay not stated8–14 yrsFull-time

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About the role

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm.

What you'll do

  • Design and implement efficient and bi-temporal schemas leveraging micro-partitioning and clustering keys for optimal performance
  • Develop and optimize SQL queries, stored procedures, and Snowpark-based transformations
  • Implement query performance tuning and cost optimization strategies
  • Build and maintain Python-based ETL/ELT pipelines for sourcing historical market data from internal and external providers
  • Integrate with quant libraries to identify data quality issues and validate risk inputs

What you need

  • 8–14 years in data science & ai
  • Snowflake
  • Python
  • SQL
  • ETL
  • Market risk
  • Investment banking
  • Any graduate

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