C++ Developer for the Advertising Metrics Team

The Advertising Metrics Team develops key metrics for Yandex's Advertising product — one of the company's most technologically advanced and profitable businesses.

Our main projects:

• The main receiving metric for A/B experiments — a primary KPI for many technical teams in Advertising. While working on this metric, we have already solved tasks related to the proper accounting of conversions, assessing the value of conversions using AI, and the pessimization of ineffective platforms.
• Development and support of more than 6000 Advertising metrics — this involves working with a high-load distributed system, processing several petabytes of data daily, and conducting research.
• KPI dashboard — a convenient analytical tool for all Advertising A/B experiments. It is used to set goals for teams and accept results.
• Assessing the effectiveness of using AI development tools — a project on internal analytics for productivity growth through AI initiatives.

Our team works on the full cycle of tasks: from research and hypothesis testing to the implementation of tools and their rollout to production.

What tasks await you

Research new Advertising metrics and implement them in production You will need to process incoming requests for developing metrics for new Advertising technologies, think through the architecture, and implement efficient calculations in C++ and SQL.

Improve the reliability of the metrics calculation system We are moving towards a stable and fast metrics calculation pipeline that processes petabytes of data daily.

Develop tools for analytics You will develop tools for analytics: from enhancing the KPI dashboard to creating a new tool for fast parallel recalculation of metrics in the past.

Learn more about backend at Yandex — in the channel Yandex for Backend

We expect you to

• Confidently write fast and reliable code in C++
• Have worked with MapReduce operations
• Know SQL or are ready to learn it
• Be communicative and able to formalize tasks from business requests
• Have a good knowledge of mathematics — understand the meaning of metrics

Will be a plus

• Have worked with big data and high-load systems
• Know Python
• Have experience with Airflow-like graph computation automation tools