Software Developer - Finance Automation

Hopper

Colombia
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 02/25/2021
  • Website: hopper.com
  • Company Address: 5795 De Gaspe Suite 100, MontrĂ©al, QC, H2S 2X3

About Hopper

Hopper is the smart way to book travel on your phone. Combining massive amounts of data and advanced machine learning algorithms, Hopper predicts and analyzes airfare and accommodation to save users money and enable them to travel more often.

Job Description

At Hopper, we’re on a mission to make booking travel faster, easier, and more transparent. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing travel app -- one that enables our customers to save money and travel more. With over $235M CAD in funding from leading investors in both Canada and the US, Hopper is primed to continue its path toward becoming the go-to way to book travel as the world continues its shift to mobile.
 
Recognized as the fastest-growing travel app by Forbes and one of the world’s most innovative companies by Fast Company two years in a row, Hopper has been downloaded over 40 million times and has helped travelers plan over 100 million trips and counting. The app has received high praise in the form of mobile accolades such as the Webby Award for Best Travel App of 2019, the Google Play Award for Standout Startup of 2016 and Apple’s App Store Best of 2015. 
 
Take off with us!
 
Our new Finance Automation team is working closely with financial analysts, application engineers, data scientists and product owners to build an integrated platform for reliably tracking, understanding and growing our business. If you share a passion for building gold-standard process automation and data infrastructure, we’d love to talk to you.
 
As a Software Developer at Hopper, you will leverage the latest technologies to solve challenging problems that will impact millions of users. You will collaborate with a team of talented engineers, break down complex problems, and implement robust and scalable solutions.

IN THIS ROLE, YOU WILL:

  • Develop and scale the data processing pipelines feeding our data warehouse and financial ledgers
  • Build integrations with third-party APIs to create new data sources.
  • Define data requirements, identify data sources, design and implement appropriate ETL processes using Google Cloud technologies
  • Work closely with engineers, product managers and finance analysts to understand data needs.
  • Deploy automated data pipeline management and monitoring. 
  • Experiment with new tools and technologies to improve efficiency.
  • Establish and maintain rigorous data quality standards in our data pipelines and core datasets.
  • Implement systems to measure data quality and consistency.
  • Identify and resolve issues with tools, data and pipelines based on internal customer impact.


A PERFECT CANDIDATE HAS:

  • Thorough understanding of at least one modern programming language such as Scala, Java, or Python
  • Experience working in a cloud environment with data warehouse technologies such as BigQuery, Redshift, Athena and Snowflake
  • Experience with designing and building large scale data pipelines with Function-as-a-Service frameworks like Lambas and Cloud Functions
  • Demonstrable experience with SQL, HQL, CQL, etc.
  • Backend development experience with Scala, Java, Python, unix shell scripting 
  • Experience building ETL pipelines is a strong plus
  • Excellent written and spoken communication skills in English
  • Effective analytical skills

BENEFITS
 
  • Well-funded and proven startup with large ambitions, competitive salary and stock options
  • Dynamic and entrepreneurial team where pushing limits is everyday business
  • 100% employer paid medical, dental, vision, disability and life insurance plans
  • Access to a 401k (US) or Retirement Savings Plan (Canada)

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.