Software Engineer, Consultant
Toronto, ON, Canada
6d ago

Software Engineer, Consultant

Why KPMG Lighthouse?

Innovate. Collaborate. Shine. Lighthouse - KPMG Canada's Center of Excellence for Data & Analytics + Intelligent Automation -

applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

KPMG Lighthouse Toronto has an exciting opportunity for a Software Engineer to join our team! This role will be a rewarding experience for you if you :

  • Thrive on challenges and work best in a fast-paced environment where each day is different
  • Work well in a project team environment and have strong collaboration and interpersonal skills
  • Have a permanent "figure it out" mindset
  • What you will do :

    As a Big Data Specialist :

  • Big data architecture design, implementation, optimization
  • Support data pipelines, data mining / science algorithms, visualization engineering
  • Experience with object oriented design, coding, testing patterns as well as experience in engineering (commercial and open source) software platforms and large-
  • scale data infrastructure.

  • Familiar with different architecture patterns of development
  • Ability to architect highly scalable distributed systems
  • Understand how algorithms work and have experience building high-performance algorithms
  • As a Developer :

  • Big data architecture design, implementation, optimization
  • Design problems, build solutions and deliver end-to-end services that provide business insights
  • Experts in cloud / on-prem / hybrid hosting solutions and full stack development
  • What you bring to the role :

    As a Big Data Specialist :

  • Strong experience with large scale and / or distributed processing methodologies such as Hadoop, Storm, Spark, etc.
  • Sophisticated ability to rapidly ingest, transform and mind data
  • Ability to evaluate, design, test and manage u0027big data architectures u0027
  • Familiarity with programming methodologies such as version control, testing, QA, and development methodologies such as Waterfall and Agile
  • As a Developer :

  • Strong experience developing applications and programs using existing frameworks and tools
  • Familiarity with development frameworks such as .NET, Linux / UNIX, Web / Front-End / Back-End and Mobile
  • Ability to develop a variety of user oriented applications to delivery content in intuitive and innovative ways, through desktop.
  • Mobile apps and web interfaces

  • Familiarity with programming methodologies such as version control, texting, QA, and development methodologies such as Waterfall and Agile
  • Keys to your success :

  • Ability to apply data and analytics concepts to business problems.
  • Ability to explain data and analytics concepts to non-technical team members.
  • Strong knowledge in distributed computing architecture, massive-parallel processing big data platforms (Such as Hadoop, MapReduce, HDFS, Spark, Hive / Impala, H-
  • Base / MongoDB / Casandra, Teradata / Netezza / Redshift)

    Location Toronto, ON ,Our Values, The KPMG Way

    We lead by example We work together We respect the individual

    We seek the facts and provide insight We are open and honest in our communication

    We are committed to our communities Above all, we act with integrity

    KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants' disability-

    related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request.

    If you require a disability-related accommodation in order to participate in the recruitment process , please contact the HR Shared Service Centre by email at cafmcdnhrsthotline kpmg.

    ca or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.

    Category Engineering Service Line Lighthouse Canada Industry Data & Analytics ,Additional Locations Toronto, ON

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