Senior Data Engineer

We're looking for a Senior Data Engineer to own and evolve the data platform supporting our publishing portfolio. You'll be responsible for building and maintaining ETL/ELT pipelines (Spark/Scala + Airflow), developing and optimizing BigQuery data layers, and ensuring reliable, high-quality data across multiple products and data sources. This is a highly autonomous individual-contributor role embedded within the Analytics team, with close day-to-day collaboration with analysts and full ownership of your technical domain.

What are you working on?

• Genres: Puzzle, Casual, Hyper-casual, Shooter

• Platforms: Mobile, iOS, Android

For which tasks (responsibilities)?

• Design, develop, and maintain ETL/ELT pipelines (Spark, Scala, Airflow).

• Orchestrate workflows in self-managed Apache Airflow.

• Develop and optimize data layers in BigQuery, including external tables on GCS and cost-aware data structures.

• Process large volumes of data using Spark/Scala.

• Ensure data quality through validation, monitoring, alerting, and cross-source data reconciliation.

• Prepare and maintain data marts for analytics needs.

• Document infrastructure and data pipelines.

• Contribute to the development of the analytics platform.

• Monitor and optimize storage and query costs.

What kind of professional are we looking for?

• 4+ years of experience as a Data Engineer, including production experience with Spark.

• Strong Scala skills (primary ETL language), with production Spark experience specifically on Scala.

• Advanced SQL, including window functions and query optimization.

• Experience with self-managed Apache Airflow, including writing and maintaining DAGs.

• Hands-on experience with BigQuery; experience with external tables, GCS storage, and cost optimization is a strong plus.

• Python for auxiliary tasks and analytics.

• Strong understanding of ETL/ELT concepts and pipeline design.

• Experience with data warehousing and data modeling (layers, fact/dimension).

• Experience with Git, CI/CD, and end-to-end pipeline testing.

• Experience with data quality practices, including validation, monitoring, and alerting.

• Comfortable working with AI-assisted development tools; our team actively uses Claude Code.

• Experience working closely with analysts and supporting analytical data needs.

• Ability to work independently, take ownership of the area of responsibility, and proactively drive solutions.

• Ability to explain technical decisions to non-technical colleagues.

• English and Russian languages.

Nice to have:

• Experience optimizing BigQuery costs (partitioning, clustering, external tables, materialized views, query tuning).

• Experience with advertising and attribution data, including MMPs such as Adjust and AppsFlyer.

• Understanding of layered data architecture (raw → staging → marts, medallion architecture, etc.).

• Kubernetes (ideally GKE).

• Infrastructure as Code (Terraform or similar).

• Experience with BI tools such as Superset, Tableau, or Power BI, and preparing data for visualization.

Why do we enjoy working here?

• The opportunity to work on games played by millions of players.

• Implement your bold ideas.

• Paid vacation.

• Support for professional development (training, coaching, and more).

• Opportunity to grow and develop with the company.

• Supportive and warm working atmosphere within the team.

The selection process

The selection process

• HR interview

• Final interview which includes the technical part