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Описание вакансии
Hypercell Games is a mobile game studio behind some of the most downloaded hybrid-casual and puzzle titles on the market.
Our games reach millions of players worldwide.
What you can definitely know about us:
Sand Balls game –360 M+
Rope and Balls – 62 M+
Freaky Stan – 52 M+
Garden Balls – 22 M+
Unpuzzle – 22 M+
Run&Gun – 13 M+
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.
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?
• Fully remote work.
• 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.
Telegram:
email:
Our games reach millions of players worldwide.
What you can definitely know about us:
Sand Balls game –360 M+
Rope and Balls – 62 M+
Freaky Stan – 52 M+
Garden Balls – 22 M+
Unpuzzle – 22 M+
Run&Gun – 13 M+
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.
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?
• Fully remote work.
• 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.
Telegram:
email:
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