Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Tala operates on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
You'll develop data pipelines and streaming systems using Kafka, Spark, AWS Kinesis, and Flink, and implement infrastructure as code using Terraform or CloudFormation across AWS, GCP, or Azure.
This information is not specified in the job description.
Tala has a global team that connects with its mission to unleash the economic power of the global majority, with most Talazens joining because they are energized by the impact they can make.
Strong candidates will have experience designing and building scalable data infrastructure, developing data pipelines with streaming technologies, implementing infrastructure as code, and partnering with Data Scientists, MLEs, and Analytics Engineers.
Digital wallet and lending platform for underserved
Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.