Data Engineering Intern
Job Summary
Job Description
As a Data Engineering Intern at Super.com, you will be building scalable and highly available data pipelines. You'll work on data-intensive applications, ensuring high data quality and uptime, and collaborate with analysts on a full-stack data team. You will be involved in building and maintaining pipelines to ingest large amounts of data from various sources, setting up Reverse-ETL syncs for operational analytics, writing automated tests for reliability and data integrity, and implementing improvements in platform operations. This internship offers an opportunity to work on a modern data stack, including Airflow, Fivetran, Snowflake, dbt, Looker, and Hightouch, and be part of a fast-growing tech company.
Must have:
- Experience with building scalable data pipelines.
- Exposure to a dynamic, startup environment.
- Ability to learn quickly with different technologies.
- Experience with powerful reporting tools.
Perks:
- $300 One-time home office setup allowance
- $25/Week UberEats allowance on Fridays
- $300/Term Learning and Development allowance
- $120/ Term Fitness/Wellness allowance
4 skills required
Job Details
About Super.com
We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.
We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.
About the Role
We are looking for a Data Engineer Intern to join our growing team for the Summer 2024 Term (May - Aug). In this role, you will have the opportunity to build scalable and highly available data pipelines using modern tech and tools on one of Canada’s fastest-growing startups. As a Data Engineer, you’ll build highly reliable and scalable ELT pipelines for large datasets. You’ll work on data-intensive applications, ensuring high data quality and uptime, and work directly with analysts on a full-stack data team. You’ll have lots of autonomy to create impact while tackling intricate technical problems.
Challenges You'll Solve
- Building and maintaining pipelines that ingest large amounts of data from various sources
- Setting up Reverse-ETL syncs to power operational analytics
- Write various styles of automated tests to ensure operational reliability and data integrity
- Implement improvements in our platform operations
Our Tech
- We use a SOA architecture powered by many micro-services, including the bot platform, the NLP engine and the pricing/recommendation engines
- We use a modern data stack of Airflow, Fivetran, Snowflake, dbt, Looker, Hightouch, and more
- We built a proprietary event logging platform which processes terabytes of data weekly
- We have a distributed ELT infrastructure hosted using Kubernetes and AWS
About You
- You have at least 6-18 months of Data Engineering or Software 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 decoding complex problems with logical, well-reasoned solutions
- $300 One-time home office set up allowance
- $25/Week UberEats allowance on Fridays
- $300/Term Learning and Development allowance
- $120/ Term Fitness/Wellness allowanceTop Talent: work with the best in the world, including Engineers and Leadership from Google, Facebook, Wish, YouTube, Uber, and more
- Build Something Great: most importantly, build a product used by millions around the world - have ownership, have impact, and do great work
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, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.
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