Senior Data Engineer

Senior Data Engineer

About 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 four 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!

Our Senior Data Engineer will contribute their expertise in building and maintaining low latency, scalable and secure pipelines that draw from a wide variety of business sources. This role will work to define and deliver new products and improvements, participating in collaborative design discussions and delivering well-tested, performant solutions which are reliable. 

What you'll do

    • Solve medium to complex problems in the capture, storage, and delivery of data to Data Science, Business Intelligence, and other stakeholders.
    • Proactively identify issues in key areas of our platform and raise these issues within the team, involving QA, Product, and Business teams appropriately.
    • Discuss project goals with Product and Engineering leads to fully grasp the context of each feature and collaborate in product/project definition discussions.
    • Participate in the core agile ceremonies helping to unlock team members, identify dependencies, and technical debt, along with prioritizing work.
    • Participate in code/design reviews and approve pull requests with an eye for code quality, maintainability, test coverage, and good design.

What you'll need

    • 5+ years experience working on software engineering, using modern languages and frameworks (Python, Java, Scala, GoLang)
    • 3+ years of engineering experience relating to data engineering using big data tools (Spark)
    • Experience building and maintaining a Data-Lake
    • Plus: managed data lakes with DeltaLake or Apache Iceberg
    • Strong hands-on experience in cloud computing (AWS, GCP, or Azure)
    • If AWS, experience with (MSK, Keyspaces, Dynamo, and EMR) is a plus
    • Experience with at least one real-time processing technology (Kafka, Spark Streaming, Flink)
    • Advanced degree in Engineering.
    • Prefer previous experience working with MLEs or DSs, building and maintaining a Feature Store.
    • Prefer experience with Kubernetes
    • Prefer the experience with SnowFlake
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.
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