Machine Learning Engineer jobs in Canada

About the role

We are looking for a Data Engineer to join our team. Data and Analytics is a critical team within Business Technology. Our mission is to enable integrated data layers for all of Samsara and Samsara customers with the insights tools infrastructure and consultation to make data driven decisions. We are a growing team that loves all things data! The team will be composed of data engineers architects analysts and data scientists. We are passionate about leveraging world class data and analytics to deliver a great customer experience.

Our team promotes an agile collaborative supportive environment where diverse thinking innovative design and experimentation is welcomed and encouraged.

This role is open to candidates residing in the Canada.

You should apply if :

• You want to impact the industries that run our world : Your efforts will result in real-world impacthelping to keep the lights on get food into grocery stores reduce emissions and most importantly ensure workers return home safely.
• You are the architect of your own career : If you put in the work this role wont be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development countless opportunities to experiment and master your craft in a hyper growth environment.
• Youre energized by our opportunity : The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative ambitious ideas for our customers.
• You want to be with the best : At Samsara we win together celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role you will :

Minimum requirements for the role :

An ideal candidate has :

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1