Website Kueski

Kueski is a rapidly growing fintech startup that is focused on providing the best credit solutions and experiences for the underserved populations in emerging Markets.


Kueski is disrupting the consumer lending industry globally and changing the way credit risk is assessed with machine learning, big data, and other novel technologies. Growing 10X year over year, Kueski is a startup with a presence in Silicon Valley and Guadalajara. Our investors (Crunchfund, Core Ventures Group, Sobrato, Ariel Poler) are among the best in the World, they have invested in companies like Uber, Pinterest, FourSquare, Airbnb, Square.

We are building one of the best engineering teams in Latin America, focused on improving the lives of millions of people underserved by traditional banks. We are hiring full time engineers, scientists and management team.

As a Data Engineer, you will be part of our Core team, having the responsibilities of developing complex data processing oriented tools and systems to support the Analytics team.

Duties and Responsibilities:

Design and implement systems to process data fast and reliably.
Push the boundaries of data processing speed to achieve processing times that others considered impossible.
Design and build scalable data pipelines to ingest, translate, and analyze large sets of data.
Design/Implement/test and deploy code to production
Maintain and improve our code quality and stability
Design, build, and debug Spark based data pipelines.
Partner with data scientists to apply large scale data mining and machine learning techniques.
Design and implement large scale distributed solutions in the cloud.
Make raw data as easy as possible analyse.
Integrate with third party APIs to access external data
Create APIs to expose collected and analyzed data to the Analytics team.
Participate in exploratory data analysis and partner with data scientists to provide stakeholders an in depth understanding of the data.
Automate deployment and management of a cloud infrastructure using Ansible.

BS/MS/PhD in Computer Science or equivalent from top tier school
Solid foundation in computer science, with strong competencies in data structures, algorithms and software design.
4+ years of Industry software development experience.
Experience with running large Spark or Hadoop jobs at scale.
Extensive experience in Java and Python.
Strong knowledge of traditional data problems in SQL
Excellent problem solver and communicator.
Self­-motivated and ability to take initiative with creative problem solving.
Experience with Scala is a plus.
Statistical analysis knowledge is also a huge plus

Working next to a world class engineering and technical team.
Possibility to make a direct positive impact to millions of people.
Stock Options.
Major medical insurance.
Flexible work time, including working from home.
You decide when to take vacation. Hard work deserves a good rest.
Breakfast, lunch, dinner… food 24 hours.
Sodas, coffee, wine and beer!
Chips, healthy snacks, chocolate snacks, fruit.
Nap room. (For those moments of nap time)
Developer-creative oriented workspace.
Yoga, English and dancing classes
Ping pong table, nerf guns and a lot of different games.
Work with the funniest & awesome people in the world
No dress code but PLEASE, come dressed!
Our perks are higher to local legislated benefits

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