Data Platform Engineer I
Mexico City
Tala
A money app for the majority. Tala bridges digital and cash ecosystems to help customers seamlessly manage their financial lives, all in one app.
About Tala
Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Role The Data Platform Engineering team is building the infrastructure to support a best-in-class decision engine. The role requires excellent communication to collaborate with our key partners-- Machine Learning Engineers, Data Scientists, and Analytics Engineers. The Data Platform Engineering team serves these internal clients by setting up, maintaining, and evolving, infrastructure and tooling that they can leverage to do their jobs then. Finally, the team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.
Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Role The Data Platform Engineering team is building the infrastructure to support a best-in-class decision engine. The role requires excellent communication to collaborate with our key partners-- Machine Learning Engineers, Data Scientists, and Analytics Engineers. The Data Platform Engineering team serves these internal clients by setting up, maintaining, and evolving, infrastructure and tooling that they can leverage to do their jobs then. Finally, the team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.
What You'll Do
- Serve internal clients by setting up, maintaining, and evolving, infrastructure
- Work collaboratively with QA, Product, and Business teams to identify project needs and negotiate scopes of work
- Understand project goals clearly and grasp how they fit into the larger scope of our business.
What You'll Need
- Experience working on software engineering, using Python
- Experience with Git
Nice To Have
- Worked on a cloud and deployed a personal project in AWS, GCP, or Azure
- Did freelancing during their university years
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Azure Crypto Engineering FinTech GCP Git Machine Learning Python
Region:
North America
Country:
Mexico
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