Data Engineer

An exceptionally unique, hyper-scale Ad-Tech technology company that has engineered a premier, machine-learning-driven platform operating autonomously across global Real-Time Bidding (RTB) advertising exchanges.

Serving as an official tier-one vendor to global tech giants, the company's core infrastructure handles an astronomical traffic volume of 100 billion network events per day, serving tens of millions of active users daily and executing over 2 million ML-driven predictions per second an elite engineering scale matched by only a handful of tech companies worldwide.

Located in a highly central Tel Aviv (exceptionally accessible, situated immediately adjacent to both main train and Light Rail lines) and operating on a hybrid model with one day of remote work per week. .

Position Overview-

• Senior Data & Big Data Engineer joining an elite data platform squad tasked with scaling and hardening the infrastructure that powers a massive real-time RTB ecosystem.
• Taking comprehensive technical ownership over high-velocity data flows, real-time streaming architectures, and the company's core Data Warehouse (DWH) clusters.
• Bridging extreme software engineering challenges with deep business logic, constructing highly resilient pipelines to process billions of transactions smoothly inside a modern cloud environment.

Requirements-

• 3+ years of proven professional experience operating as a Data / Big Data Engineer within high-scale product environments - Mandatory
• Strong, practical technical fluency and architectural background operating within major Public Cloud environments - Mandatory
• Expert-level engineering mastery in Python alongside deep proficiency in writing and optimizing complex, highly efficient SQL queries - Mandatory
• Practical, hands-on experience building and managing high-volume ETL/ELT processes, covering both batch loads and real-time streaming pipelines - Mandatory
• Direct professional experience utilizing AI-assisted tools or development helpers to optimize, monitor, or debug data engineering workflows - Mandatory
• Strong architectural understanding of distributed storage, modern DWH topologies, and data modeling best practices - Mandatory
• Exceptional analytical and problem-solving capabilities with a clear understanding of the business impact behind data architectures - Mandatory