Super

Toronto

201-500 employees

Super is a technology company at the intersection of fintech and commerce that empowers users to spend less, save more, and build credit.

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Senior Analytics Engineer

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Data Engineering Intern

Super

Data Engineering Intern

Data Engineering

This job is no longer open

Snapcommerce is a high growth company that sits at the intersection of mobile commerce and fintech. Our flagship product Snaptravel allows millions of users around the world to book their travel over messaging. We are currently in the scale-up phase of the company with plans to grow from ~100 employees to ~300+ employees as fast as possible while maintaining the competitive advantages and culture of being a startup

With a high-performing team of world class leaders, Snapcommerce thrives on tackling complex problems within AI, E-commerce, and Conversational Design to push the boundaries of the value we can add to our user’s lives!

At Snapcommerce, we pride ourselves on the performance-driven environment we’ve created for our team to prosper and excel. Our values are rooted in making data driven-decisions and risk-taking actions that add value to both the user and the company.

Please note that although this position at Snapcommerce is remote friendly, candidates must be located and authorized to work in the US/Canada as a precondition of employment. Snapcommerce does not sponsor applicants for work visas.

About The Role

We are looking for a Data Engineer Intern with 6-18 months of experience to join our growing team for the Fall 2021 term.

Our Tech:

*We use a SOA architecture powered by many micro-services, including the bot platform, the NLP engine and the pricing/recommendation engines

*Data pipeline tools including Python, Flume, Kafka/Firehose, Redshift/Athena and more

*We have a distributed ETL infrastructure hosted using Docker and AWS

*TLDR: Python and Airflow. Lots of AWS. Bleeding-edge tech.

Challenges You'll Solve

As a Data Engineer, you are comfortable building highly reliable and scalable ETL pipelines that get large data sets (we do over 10 million searches/day) from various sources to our BI platform.
In this role you will have the opportunity to build scalable and highly available data pipelines using bleeding-edge tech and tools in one of Toronto's fastest-growing Data Science teams.
We work in small teams of 3-5 Engineers with a get-things-done attitude, so you'll have lots of autonomy to create impact while tackling complex technical challenges.

About You

You have at least 6-18 months of Data Engineering work experience, preferably with exposure to a dynamic, startup environment
You learn quickly, regardless of the languages and technologies used
You have experience building scalable data pipelines and powerful reporting tools
You thrive on solving complex problems with logical, well-reasoned solutions.

We Believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This job is no longer open