Aws Data And Ai Consultant

PwC UK

Toronto, Canada
Base: $112,400 - $162,400; bonus/equity: not speci...
Hybrid
Aws cloud platform
Cloud-native data solutions
Scalable, secure, and resilient data architectures on aws
As an AWS Data and AI Consultant, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency

Job Summary

  • As an AWS Data and AI Consultant, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency.
  • PwC is seeking a highly skilled AWS Data and AI Consultant, to join our Cloud, Data & AI practice and play a key role in delivering cutting-edge, cloud-native data solutions for our clients across industries.
  • We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes.

Matching Summary

As an AWS Data and AI Consultant, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency.

Salary

Base: $112,400 - $162,400; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AWS cloud platform
  • cloud-native data solutions
  • scalable, secure, and resilient data architectures on AWS
  • AWS services (S3, Redshift, EMR, Lambda, Kinesis)
  • Python and data orchestration tools
  • distributed data frameworks and streaming technologies
  • data modeling and ETL/ELT pipelines

Nice-to-have

  • problem solvers
  • client service and operational efficiency
  • business leaders, data scientists, and technologists
  • sustainable business value and competitive advantage
  • DevOps best practices
  • proactive, problem-solving approach
  • customer orientation

Key Requirements

  • Proven experience building enterprise-level data engineering solutions on AWS
  • Proficiency in Python and hands-on experience with data orchestration tools
  • Hands-on expertise with AWS ecosystem
  • Strong data modeling skills and experience designing ETL/ELT pipelines
  • Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools
  • Bachelor’s or higher degree in Computer Science, Information Systems, Engineering or related fields
  • AWS certification(s) highly desirable

Work Rights

Not specified

Tailored Resume

Cover Letter