Job Specifications
About Kinaxis
Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.
In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.
Location
Ottawa and Toronto - Hybrid; other Canadian locations - Remote
Vacancy Status
This is an existing job vacancy
About The Team
Kinaxis is looking for a talented data engineer to work within the Machine Learning R&D team. The team is
responsible for applying machine learning algorithms to develop intelligent supply chains. The uniqueness of the
team is that it performs at the intersection of technology and real business problems. You will contribute to the
product that delights customers world-wide.
What you will do
If you love solving complex problems, analyzing complex datasets, finding insights from data, creating data model
and learning new technologies, this role is for you.
As a data engineer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term issues such as maintainability, scalability, and quality
You are an experienced software engineer who is passionate about delivering software that supports and facilitates business operations of AI solutions. You have a strong understanding of Cloud technologies and Cloud agnostic software architecture and have experience troubleshooting high scale solutions that are deployed and upgraded on a regular cadence.
You have a passion for software reliability and know how to ensure user needs are met through cross- functional stakeholder understanding and engagement. You enjoy understanding both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end.
You have a strong interest in resolving issues as well as designing effective methods for troubleshooting, preventing, and debugging problems in software systems, getting to the root cause of issues, meeting the users’ needs and influencing the product development roadmap. You are excited about finding ways to develop product capabilities and tools that increase robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues.
You are fluent in SQL & Python, have experience working with distributed computing, big data frameworks and are very knowledgeable about Kubernetes and Docker. You also have experience working with and building Machine Learning pipelines and models. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.
You are a team player, a quick starter, and a problem solver. You work well in a cross-functional team and can listen and contribute to discussions. Your primary focus is analyzing complex datasets, finding insights from data, creating data model and ETL pipelines that are required as part of the development of robust, scalable, and data-intensive Machine Learning software systems that drive business critical customer value
What we are looking for
BS or MS in Computer Science/Software Engineering and 5+ years of relevant work experience
Experience with data modelling, data streaming, data transformation, modern data stores, building data pipelines (ETLs).
Experience with data management and data engineering in Production Systems.
S trong customer orientation and understand the system end-user perspective.
Understand project scoping documents & client datasets, drive data discovery sessions with clients (including Q&A and follow-ups)
Carry out data exploration & analysis (EDA).
Understanding of the ML / Modelling process, Feature Generation, Training, Hyper-parameter tuning, predictions (scoring)
S trong software engineering skills and strong programming skills in Python/Pandas/ML Libs.
Proficiency in SQL – advanced, window functions, aggregate functions, joins, etc.
E xperience with the use of Kubernetes at scale, Docker, and big data frameworks.
P roven understanding of distributed computing architectures.
E xcellent communication ski