Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering, mandulti-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 350k requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies.
עיקרי התפקיד
As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.
Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop Arpeely DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
דרישות
3+ years experience as a Data Engineer.
Good working knowledge of Google Cloud Platform (GCP).
Experience using AI-assisted tools or automation to improve data development, monitoring, or debugging workflows.
Strong experience in SQL and Python.
Experience with high volume ETL/ELTs tools and methodologies - both batch and real-time processing.
Understanding of how to build robust and reliable solutions.
The ability to understand the business impact of the data engineering tasks.
Hands-on experience in writing complex queries and optimizing them for performance.