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Senior Data Engineer

Jampp

Sênior100% remotoRemoto na América Latina

WHO WE ARE

At Jampp, we’re on the mission of playing a leading role enabling the mobile app economy to grow. How? We build technology to support the most ambitious companies - from gaming to commerce pioneers - to propel the reach of their apps and accelerate their mobile businesses.

A demand-side platform (DSP) at heart, the technical challenges we face every day are huge: from processing over 2 million auctions per second in less than 40ms each, to efficiently storing over 150TB of events’ data daily, to continuously choosing the optimal price level for 300+ campaigns spending several million dollars every month in a constantly changing market, there’s never a boring day at Jampp!

WHY DO WE NEED YOU?

At Jampp, we solve the most complex and large-scale technological challenges in mobile advertising today. We process over 2,500,000 ad requests per second, which amounts to over 250TB of data per day, across three global data centers. We rely on real-time machine learning models (with billions of features) that give us predictions in less than 100ms. If you've spent your career building real-time, high-throughput data pipelines and want to own the architecture behind systems handling a billion events daily, Jampp is the right place for you.

As a Senior Data Engineer, you won't just build pipelines. You'll set the technical direction for how Jampp's data infrastructure evolves. You'll design, architect, and operate large-scale distributed systems across all environments, make key technology decisions, and mentor the engineers around you as we build our next-generation data infrastructure.

If you have deep, hands-on experience with distributed systems at scale, a strong command of Python, and you thrive owning ambiguous, high-impact technical problems in a fast-paced environment, you might be the new Jampper we're looking for.

WHAT YOU´LL DO

REQUIREMENTS

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5+ years of programming experience in Python, with a track record of building and owning production-grade distributed systems. Go is a plus.

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Proven experience architecting and scaling distributed data processing systems, not just maintaining pipelines someone else designed, but making the core design decisions yourself.

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Deep hands-on experience with the AWS Big Data stack (Kinesis, EMR, Lambda, etc.) in high-throughput, transaction- or event-scale environments, think fintech, payments, e-commerce, ad-tech, or gaming, where real-time or near-real-time data volume is core to the business.

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Strong experience managing and operating TrinoDB/PrestoDB clusters in production.

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Production experience with Docker, Kubernetes, and PySpark, comfortable owning the infrastructure these run on, not just deploying to it.

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Rock-solid knowledge of databases and SQL, including performance tuning at scale.

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Databricks experience is a strong plus.

WHAT WE OFFER

Originally posted on Himalayas

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