Data Engineering Team Leader

As our Data Engineering Team Leader, you will manage a Data Engineering team that deals with real Big Data, 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.

What You’ll Do:

• Lead and manage our data engineering team, guiding them to deliver exceptional results and fostering professional growth.
• 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
• Design and build solutions that optimize our technology products
• Develop tailormade solutions as part of our data pipelines
• Lead complex Big Data projects and build data platforms from scratch
• Drive continuous improvement initiatives to enhance team productivity and efficiency
• Work on a high-scale, real-time, real-world business-critical data stores and data endpoints
• Design data profiling to identify anomalies and maintain data integrity
• Work in a results-driven, high-paced, rewarding environment

Requirements:

• 3+ years experience as a Data Engineering Team Leader
• 5+ years experience as a Data Engineer
• Strong experience in SQL and Python
• Good working knowledge of Google Cloud Platform (GCP)
• 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
• Able to understand complex data and data flows
• Have a strong analytical mind with proven problem-solving abilities
• Ability to manage multiple tasks and drive them to completion
• Independent and proactive

About us

Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1M 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.

Controlling the whole user lifecycle from bid to impression, to click, to funnel experience, to product, everyone at Arpeely has the potential to lead to business breakthroughs on a daily basis. With dozens of daily deployments and quick feedback from our millions of hourly users, we are addicted to fast data feedback loops.

Our lean cross-disciplinary team of engineers, data, UX, PMs and developers work in unison to re-invent market rules and beat the status quo competition. Come [legally] hack with us the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.

Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP volumes of traffic, sub-second predictions and TBs of live, real-world data. Use cutting-edge analysis, ML, engineering, UX or just plain hacker-like thinking to out-perform the market.

Arpeely is now at an exciting boiling point, still bootstrapped and with a lean and mean R&D team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment.

Work from our offices in Tel Aviv, Midtown Commerce Tower