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ApplyAbout Tala
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC ’s Disruptor 50, and Forbes’ Fintech 50 list for five years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the 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, more than 7 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 of enabling financial agency for underbanked people around the world. 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 then do their jobs. Finally, the team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.
* Build and maintain streaming pipelines that deliver real-time data to ML and business stakeholders
* Build a data lake that feeds the feature store for model training and lowers the resource consumption on the DWH serving analytics engineers
* Set up, maintain, and evolve infrastructure
* Previous experience in a software company or a platform team
* 5+ years experience working on software engineering, using Python
* 3+ years of engineering experience using streaming tools like Kafka, Spark, AWS Kinesis, and Flink
* Experience deploying infrastructure as code using CloudFormation or Terraform in AWS, GCP, or Azure
* Advanced degree in Engineering.
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.