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Data Platform Engineer I

unlimited holidays - work from anywhere - fully flexible

Remote:

Full Remote

Contract:

Full time

Work from:

Mexico

Offer summary

Qualifications:

Experience in software engineering, Proficiency in Python, Familiarity with Git, Cloud deployment experience is a plus.

Key responsabilities:

Set up and maintain infrastructure
Work with QA, Product, and Business teams

Tala Financial Services Large http://tala.co

501 - 1000 Employees

See all jobs

Job description

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.

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

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.