Job Description

Overview

At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

 

The opportunity:

 

Video: Digital Opportunities  

 

 

Why KPMG Digital?

Transform. Innovate. Collaborate — 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 Digital Toronto has an exciting opportunity for a Data 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

  • Work closely with clients to understand key business issues.
  • Gather and analyze requirements to develop impactful recommendations and solutions.
  • Work in teams and individually to performance ETL (extract, transform and load) of data from a variety of databases, SQL, NoSQL, Hadoop, Neo4j, etc.
  • Strong experience with large scale and/or distributed processing methodologies such as Storm, Spark or others.
  • Review data quality and definitions and perform data cleansing and data management tasks.
  • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
  • Architect the data platform for scalability, repeatability and performance.
  • Architect data pipelines to support streaming data, batch data, etc.
  • Develop standards for data processes and automate routine tasks.
  • Run queries for descriptive analytics and provide formatted result sets.
  • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
  • Support application testing and production implementation as required.
  • Bridge the gap between technical platform needs and business issues.
  • Enable overall solution and full-scope architecture design and build.
  • Design software architecture following best practices after understanding customer enterprise environment requirements.

What you bring to the role

  • University degree in computer engineering, mathematics, data science or related disciplines
  • 2+ years of professional experience in a related field
  • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
  • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
  • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
  • Experience in at least one major cloud service: AWS, MS Azure and GCP, microservices and serverless computing
Technical Skills
SQL
Data Science (Hadoop, R)
Spark
AWS
Azure
Is a Remote Job?
Hybrid (Remote with required office time)
Employment Type
Full time

With more than 40 locations across Canada, KPMG employs more than 10,000 people and is home to a diverse workforce that inspires confidence, empowers change and drives innovation. KPMG in Canada...

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