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, Consultant 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 ‘big data architectures’
• 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)

Tagged as: Business Analytics, Data Science, Data Visualization, Engineering