Data Engineer

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, clie

דרישות:

What you have
The Foundation: B.Sc. in Computer Science or an equivalent.
Relevant Track Record: 3+ years in Big Data Engineering (Backend experience is a plus, provided youve worked at scale).
Spark Mastery: 1+ years of deep, hands-on experience with Spark (or equivalent). You should understand "under the hood" complexities like memory management and execution plans.
Engineering Craft: Strong programming skills (Ideally Scala) with a deep understanding of distributed programming paradigms. You write clean, production-ready code that is optimized for execution across large-scale clusters.
The Scale Mindset: A natural obsession with high-scale problem solving and system optimization.
The Right DNA: A pragmatic, ownership-driven mindset with a personality that thrives in a collaborative environment.

Bonus points
Spark UI Sensei: Expertise in Spark UI analysis and performance tuning.
Scala Pro: Advanced expertise in Scala.
Modern Stack: Experience with Airflow, EMR-Serverless.
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