Data Engineer - Director - Data & Analytics Engineering

Morgan Stanley

Apache spark batch data engineering
Kafka real-time service integration
Sql server & hadoop implementations
Create and deliver high quality, resilient data solutions to fraud business partners

Job Summary

  • Create and deliver high quality, resilient data solutions to fraud business partners.
  • Work on various existing and new technology stacks including on-prem and cloud-based technologies.
  • Be involved in the full development lifecycle within a dynamic agile team using Scrum.

Matching Summary

Create and deliver high quality, resilient data solutions to fraud business partners.

Skills & Requirements

Must-have

  • Apache Spark batch data engineering
  • Kafka real-time service integration
  • SQL Server & Hadoop implementations
  • Dimensional modelling for data mart design
  • Python scripting for data processing
  • Linux environment experience

Nice-to-have

  • Machine learning and AI techniques
  • Cloud-based technologies (AWS, Azure)
  • Agile Scrum workflow
  • Modern software engineering tools

Key Requirements

  • 6 to 8 years of relevant work experience
  • Strong SQL & Stored Procedure skills
  • Experience with job scheduling tools (Autosys preferred)
  • Strong data architecture and modelling experience
  • Strong data analytics skills

Work Rights

Not specified

Tailored Resume

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