Data Engineer - Director - Data & Analytics Engineering

Morgan Stanley

Batch data engineering on apache spark
Real-time service integration off kafka
Near real-time stream processing
The Fraud Technology department is responsible for designing, developing, and maintaining applications which helps the firm identify and prevent potential fraudulent transactions

Job Summary

  • The Fraud Technology department is responsible for designing, developing, and maintaining applications which helps the firm identify and prevent potential fraudulent transactions.
  • As a senior data engineer your role will be to create and deliver high quality, resilient data solutions to our fraud business partners and being a productive member of the development team.
  • At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Matching Summary

The Fraud Technology department is responsible for designing, developing, and maintaining applications which helps the firm identify and prevent potential fraudulent transactions.

Skills & Requirements

Must-have

  • Batch data engineering on Apache Spark
  • Real-time service integration off Kafka
  • Near real-time stream processing
  • SQL Server & Hadoop based implementations
  • Dimensional modelling for data mart design
  • Linux environment scripting

Nice-to-have

  • Machine learning and AI-based techniques
  • Agile team using Scrum
  • Modern software engineering tools
  • Collaboration and initiative
  • Full development lifecycle involvement

Key Requirements

  • 6 to 8 years of relevant work experience
  • Strong programming in Python
  • Strong SQL & Stored Procedure skills
  • Experience with job scheduling tools like Autosys
  • Strong data architecture and modelling experience
  • Strong data analytics skills
  • Excellent oral and written communication skills

Work Rights

Not specified

Tailored Resume

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