Data Engineer

Toronto, Canada

Applications have closed

Klarna

Klarna offers better shopping with direct payments, pay later options, and installment plans in a smoooth one-click purchase experience → Get started today!

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On our path to becoming the world's favorite way to shop, we’re assembling an unparalleled global talent network, accelerating individual careers, and disrupting entire industries. We are on a mission to liberate humanity from all the meaningless time spent managing their purchases and finances, so they can do more of what they love. We’re in search of global talent eager to embrace a hypergrowth atmosphere and defy their own expectations.

The mission of Klarna Media is to advance Klarna One Media Platform by driving higher value for our consumers, merchants and publisher partners. Klarna Media is investing in building a state-of-the-art content marketing platform and audience management platform. The Klarna Media Lab is responsible for defining, innovating, and building performance content delivering products that facilitate product discovery for consumers, maximize merchant sales and increase publisher profits.
As a Data Engineer, you will implement, orchestrate and operate distributed software systems to efficiently process, organize and query internet-scale data at Klarna.

What you’ll get to do

  • Assemble large, complex sets of data that meet non-functional and functional business requirements
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS Glue, Lambda, EMR, Athena and SQL technologies
  • Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition 
  • Work with Data Scientists to design data pipelines for predictive model training and deployment,  and assisting them with data-related technical issues

To succeed in this role, we think you should have

  • A degree and solid foundation in computational science 
  • Strong software implementation experience with at least one of the programming languages ( Java, python and etc.). 
  • Familiarity with AWS data services and Jenkins
  • Knowledge of Hadoop Mapreduce framework
  • Strong hands-on skills in data wrangling over massive datasets using distributed computing platform
  • Strong written and verbal communication skills
  • Experience in online advertising, ecommerce or related areas will be a plus
What we offer:
Diversity & CommunityWith our diversity of skills, perspectives and backgrounds, we can create, innovate, and disrupt like no other. Diversity is part of who we are, and essential to our success.
Ownership & ImpactHere, every voice matters. We’re organized into hundreds of small teams, each run like a start-up, focused on their own problem-space.
Trust & CollaborationSuccesses and failures are won together at Klarna in a melting pot of teams. Win, lose, and learn, we’re on this path together.
The Klarna Work Policy is designed to make sure we foster team collaboration while also ensuring a productive and flexible work environment. We work 2 days per week in the office on agreed days, and then 3 flexible days. We’re also providing each Klarnaut with an annual financial contribution to improve their flexible work life whether they use it to upgrade their work accessories, or their home office space!
Challenges & RewardsWe take a very Swedish approach to benefits. Support for parents, health and wellness perks—we’ve got you covered.
About KlarnaSince 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 90 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by helping them save time and money while better managing their cashflow and making informed decisions. Over 250,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store. With over 5,000 employees, Klarna is active in 20 markets and is one of the most highly-valued private fintechs globally, with a valuation of $45.6 billion. For more information, visit Klarna.com
It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender, identity, ethnicity, sexual orientation, disability status or religion. Please refrain from including your picture and age with the application.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Athena AWS Banking Data pipelines E-commerce Hadoop Lambda Model training Pipelines Python SQL

Perks/benefits: Health care Startup environment Wellness

Region: North America
Country: Canada
Job stats:  5  0  0
Category: Engineering Jobs

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