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Senior Data Engineer

Uplift
Full-time
On-site
Toronto, Ontario, Canada
Senior Jobs

Company Description

Uplift gives you the freedom to buy what you want now and pay over time. With affordable monthly payments, you can easily budget for what matters most.

Job Description

Senior Data Engineer - Toronto

TORONTO, ON /

ENGINEERING – DATA ENGINEERING /

FULL TIME

APPLY FOR THIS JOB

At Uplift, we’re passionate about making travel more accessible, affordable and rewarding for everyone. Through our flexible Buy Now, Pay Later solution, we’re changing the way people book, buy, and experience travel. It isn’t easy to build an enterprise solution that meets the tough demands of some of the world’s leading brands, but we love a good challenge. We’ve been in high growth mode since our Series C round of funding but we still hold on to the values that have inspired our mission since the beginning; innovation, diversity, agility, and a love for travel. If our mission inspires you, let’s talk!

 

Uplift Pay Monthly is used by top travel brands such as Air Canada, Sunwing, Tripcentral.ca, RedTag.ca, Itravel2000.com, Carnival, United and many more. Learn more at www.uplift.com.

 

 

Responsibilities

    • Design, build and maintain data pipelines in cloud infrastructure (AWS) 
    • Develop and maintain real time data pipelines 
    • Build Python libraries, tools, serverless applications and workflows
    • Internal process improvements such as automating manual processes, building alerting/monitoring bots
    • Collaborate closely with product teams to build tools, frameworks, reports to run experiments, analyze A/B test results
    • Work with analysts and data scientists to extract actionable insights from data that shape the direction of the company
    • Actively engage in design and code reviews - learn from your peers and teach your peers
    • Lead initiatives to research, analyze and propose new technologies and tooling for our stack

Requirements

    • 5+ years of work related experience
    • BA/BS degree in Engineering, CS, or equivalent, Master's degree a plus
    • Experience with Big Data, ETL and data modeling
    • Solid coder with Python and Bash
    • Strong SQL knowledge
    • Experience with cloud data warehouse (preferably Snowflake or AWS Redshift)
    • Familiar with BI tools (Tableau or Looker)
    • Familiar with Linux, AWS, and Docker
    • Experience in developing and operating high-volume, high-available and scalable environments
    • Ability to align with rapid business changes: new requirements, evolving goals and strategies and technological advancements
    • Entrepreneurial, persistent, with the desire to go deep in details
    • Comfortable working in a startup culture with the ability to earn trust

Benefits

    • Medical, dental, and vision insurance
    • 11 company paid holidays and unlimited PTO
    • Life insurance
    • Registered Retirement Savings Plan (RRSP)
    • Pre-IPO stock options
    • Credit for daily lunches + fully stocked kitchen (once the office reopens)

Additional Information

All your information will be kept confidential according to EEO guidelines.