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 based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers.
Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® CertifiedTM. Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration.
Location
Chennai, India
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 or equivalent 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.
You have strong 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).
You have strong software engineering skills and strong programming skills in Python/Pandas/ML Libs.
Proficiency in SQL – advanced, window functions, aggregate functions, joins, etc.
You have experience with the use of Kubernetes at scale, Docker, and big data frameworks.
You have a proven understanding of distributed computing architectures.
You have excellent communication skills with the ability to clearly explain technical terms to non-technical audience.
Experience in Kubernetes ecosystem like Helm and Argo workflow, CI/CD.
Experience with Machine Learning Solutions and productization.
You enjoy solving puzzles and troubleshooting issues.
You enjoy multi-tasking and providing significant positive impact to the business through your work.
Nice to have:
Data manipulations in python – wrangling & manipulating large datasets in spark & pandas dataframes.
Supply chain domain knowledge - Supply Chain Management, especially demand planning aspects, CPG, Manufacturing etc.
Knowledge of how drivers influence demand, e.g., pricing, promotions, initiatives, external factors like weather patterns etc.
Understanding of the ML / Modelling process, Feature Generation, Training, Hyper-parameter tuning, predictions (scoring)
#Intermediate #LI-Onsite #Li-RJ #Fulltime, #Full-time
Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.
Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more.
Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and these are some of the perks and benefits we created for our team:
For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.
Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
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