Senior Data Engineers

Intersources Inc.
Parsippany-Troy Hills, NJ, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Big Data Extract Transform Load (ETL) Database Theory Python (Programming Language) Microsoft SQL Server SQL Stored Procedures SQL Databases

Job description

Will research, design, code, test and deploy models. Will support daily trading operations and work with portfolio management teams for new ideas., * Implement, enhance, and manage quantitative models for equity markets, frequently working with quantitative researchers on new ideas

  • Design and improve proprietary data repository and financial data platforms
  • Automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors

Requirements

  • MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
  • 3+ years of production experience developing in Python
  • Proficiency in SQL, stored procedures, and database concepts, preferably with Microsoft SQL Server
  • Familiarity with financial equity data, particularly Bloomberg, LSEG, Compustat, and CapIQ
  • Experience in processing large and complex datasets
  • An advanced knowledge of math and statistics and good problem-solving skills
  • Strong communication skills and ability to collaborate across teams

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