Senior Data Engineer - Associate

Morgan Stanley UK

New York, United States
Base: $90,000 - $150,000 py; bonus/equity: not spe...
Python for batch data engineering
Apache spark
Kafka event processing
Create and deliver high quality, resilient data solutions to Fraud business partners using on-prem and cloud technologies

Job Summary

  • Create and deliver high quality, resilient data solutions to Fraud business partners using on-prem and cloud technologies.
  • Work in a dynamic agile team using Scrum, involved in the full development lifecycle and exposed to modern software engineering practices.
  • Opportunity to work alongside experienced professionals in an environment that supports and empowers employees, with attractive benefits and opportunities for career growth.

Matching Summary

Create and deliver high quality, resilient data solutions to Fraud business partners using on-prem and cloud technologies.

Salary

Base: $90,000 - $150,000 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python for batch data engineering
  • Apache Spark
  • Kafka event processing
  • SQL Server and Hadoop
  • SQL and Stored Procedures
  • Linux environment
  • Data architecture and modeling

Nice-to-have

  • Azure cloud technologies
  • Agile Scrum methodology
  • Continuous Integration systems
  • Version control systems
  • Fraud detection business experience

Key Requirements

  • 6+ years of relevant work experience
  • Strong programming in Python
  • Strong SQL Server & Hadoop based implementations
  • Strong SQL & Stored Procedure skills
  • Good hands-on experience with job scheduling tools
  • Experience in a Linux environment
  • Strong data architecture and modeling experience
  • Strong data analytics skills
  • Strong oral and written communication skills
  • Excellent interpersonal skills
  • Strong analytical and problem-solving skills
  • Ability to learn quickly

Work Rights

Not specified

Tailored Resume

Cover Letter