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Data Engineer (World of Tanks: HEAT)
Отличное предложение от мирового лидера индустрии с сильным социальным пакетом, поддержкой релокации и возможностью работать над легендарным продуктом. Высокий балл обусловлен прозрачными требованиями и качественной корпоративной культурой.
Сложность вакансии
Роль требует глубоких знаний в области высоконагруженных систем телеметрии и DWH, а также экспертного владения SQL и Python. Сложность добавляет необходимость координации между множеством команд и работа с огромными объемами игровых данных в реальном времени.
Анализ зарплаты
Предлагаемая позиция в Никосии соответствует рыночному уровню для опытных Data-инженеров. Кипр предлагает конкурентные зарплаты в ИТ-секторе, которые часто дополняются существенными налоговыми льготами для иностранных специалистов и расширенным пакетом бенефитов.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position for World of Tanks: HEAT at Wargaming. With over three years of experience in building robust ETL pipelines and managing large-scale data warehouses, I have developed a deep appreciation for the complexity of high-load telemetry systems. My background in optimizing SQL queries and automating data processing with Python aligns perfectly with your team's mission to provide near real-time analytics for millions of players.
In my previous roles, I have successfully bridged the gap between technical data infrastructure and business requirements, a skill I look forward to bringing to the Analytics team in Nicosia. Being a gaming enthusiast myself, I am particularly excited about the opportunity to work with granular in-battle telemetry and contribute to the evolution of product telemetry systems for such an iconic title as World of Tanks. I am eager to apply my expertise in Snowflake and Big Data platforms to ensure data integrity and support data-driven decision-making across your global analytics community.
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Описание вакансии
Job Overview
Wargaming is looking for a proactive, passionate, and goal-oriented Data Engineer to join our Analytics team. The role combines deep technical expertise in high-load telemetry and data warehouse systems with strong cross-functional collaboration skills.
The team works with a wide range of product data - from financial and economic metrics to highly granular in-battle telemetry, including player actions, vehicle movements, and interface events. All data is consolidated into a centralized data warehouse and is available for near real-time analytics.
You will collaborate closely with the Data Warehouse team responsible for storage, infrastructure, and reporting, as well as with a global analytics community of 50+ analysts. The position offers an opportunity to work in one of the most data-intensive industries and to apply modern analytics technologies to real, measurable product outcomes.
Reports to
Analytics Team Lead
What will you do?
- Design and evolve product telemetry systems in collaboration with analysts, game designers, product managers, and developers
- Organize and support data collection, storage, and transfer pipelines from game servers to the Data Warehouse across the full feature lifecycle (from concept to release)
- Develop and maintain technical documentation for telemetry and data systems; ensure compliance with business requirements, data integrity standards, and GDPR
- Coordinate data-related activities across teams, acting as a point of alignment between product, analytics, and technical stakeholders
- Build and maintain analytical infrastructure, including ETL pipelines, monitoring solutions, and dashboards that provide timely insights into product health and performance
- Support analysts, managers, and product teams by enabling access to reliable data for decision-making and by maintaining and expanding the internal knowledge base on data systems
What are we looking for?
- 3+ years of professional experience in roles such as Data Engineer, Data Steward, ETL Developer, or Data Integration Engineer
- Strong theoretical and practical knowledge of relational databases and data warehouse architectures, including processing and storage of large-scale datasets
- Expert-level SQL proficiency, with hands-on experience in designing, optimizing, and operating ETL pipelines
- Experience working with Big Data/DWH platforms and Python for data processing and automation
- Proven ability to formalize business requirements, decompose them into technical specifications, and design telemetry and data collection systems
- Solid understanding of end-to-end data flows within DWH infrastructure and related processes
- Well-developed communication skills, along with effective time and workload management
- English proficiency at B2 level or higher
What additional skills will help you stand out?
- Hands-on experience with Snowflake, BigQuery, MySQL, or PostgreSQL
- Familiarity with Tableau or other BI tools
- Ability to quickly learn, structure, and operate with large volumes of information
- Experience using version control systems (Git, SVN, CVS)
- Background knowledge in computer science, mathematics, or statistics
- Broad gaming experience
Work mode
- Hybrid (4 days of work from the office)
- This role is eligible for relocation & immigration support
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
- 21 days annual leave (additional days based on years of service: up to 25 days)
- Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
- Sick Leave (10 days top-up to statutory allowance per year)
- Maternity Leave (18 weeks top-up to statutory allowance per case)
- Career development and education opportunities within the company
- English Language courses fully covered by the company upon Manager’s approval
- Premium Private Health Care
- Mental well-being program (iFeel)
- Onsite gym and spa
- Free parking close to the Nicosia offices, based on availability
- Free drinks-equipped kitchen in every floor building
- Hellenic Bank benefits
- Employee discounts (e.g. restaurants, bars, etc.)
- Personal Gaming Account
- Onsite canteen with subsidized prices for food and drinks
- Company events, Social Clubs
- Seniority Awards
- Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.
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Навыки
- Tableau
- Git
- Python
- SQL
- PostgreSQL
- BigQuery
- Snowflake
- MySQL
- ETL
- Data Integration
- GDPR
- Data Warehouse
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами, что критично для телеметрии World of Tanks.
Расскажите о самом большом объеме данных, с которым вы работали: как была устроена архитектура и с какими проблемами производительности вы столкнулись?
Вакансия подразумевает тесное взаимодействие с геймдизайнерами и аналитиками.
Как вы подходите к процессу сбора требований для новой системы телеметрии, чтобы учесть нужды и технических специалистов, и бизнес-пользователей?
Упоминание Snowflake и BigQuery в вакансии делает этот вопрос важным для оценки технического соответствия.
В чем, по вашему мнению, основные различия в оптимизации запросов между традиционными реляционными БД (например, PostgreSQL) и облачными DWH вроде Snowflake?
Работа с данными игроков в Европе требует строгого соблюдения GDPR.
Какие технические меры вы внедряли в ETL-процессы для обеспечения соответствия требованиям GDPR и защиты персональных данных?
Проверка навыков автоматизации и чистоты кода.
Опишите ваш подход к мониторингу и обработке ошибок в Python-скриптах, которые являются частью критически важных ETL-пайплайнов.
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