Data Engineering Lead

Posted 2 weeks ago

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About the role

  • Data Engineering Lead at Morgan Stanley overseeing design and development of data solutions. Leading teams in a hybrid work environment in Montreal.

Responsibilities

  • Staff develop and lead one or more teams which are part of the department
  • Design, build, and maintain scalable and resilient data platform solutions using Big data platforms on HDFS/S3 using Apache Spark, Python, Kubernetes
  • Collaborate with application teams to design and deploy microservices-based architectures
  • Work closely with development teams to optimize application performance and troubleshoot production issues
  • Look to develop new solutions using GenAI

Requirements

  • At least 12 years' relevant experience
  • Bachelor's degree in computer science, Engineering, or equivalent practical experience
  • Advanced understanding and experience in building data pipelines, data engineering and database technologies like IBM DB2, Postgres, Snowflake
  • Experience in working with large datasets using Big data platforms like Hadoop, storage using HDFS/S3, access using Apache Spark
  • Familiarity with cloud platforms (AWS, Azure) and scripting languages like Python, Perl
  • Ability to present information in a clear and concise manner to technology and business leadership

Benefits

  • Competitive salary
  • Flexible work arrangements
  • Professional development opportunities
  • Comprehensive employee benefits and perks including health insurance, retirement plans, and paid time off

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

ApacheAWSAzureCloudHadoopHDFSKubernetesMicroservicesPerlPostgresPythonSpark

Location requirements

HybridMontrealCanada

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