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Analytics Engineer

Оценка ИИ

Работа в одной из самых престижных игровых студий мира над проектами ААА-класса. Отличные возможности для профессионального роста в сильной инженерной команде, хотя позиция требует обязательного присутствия в офисе в Лондоне.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня владения SQL и Python, а также опыта работы с современным стеком (Databricks, Airflow, CI/CD). Высокая планка Rockstar к качеству кода и инженерным практикам делает отбор достаточно строгим.

Анализ зарплаты

Медиана75 000 £
Рынок60 000 £ – 95 000 £
Оценка ИИ

Зарплата в Rockstar Games для данной роли обычно соответствует или слегка превышает рыночные показатели Лондона для специалистов уровня Middle/Senior в сфере Data Engineering. Учитывая престиж компании, общая компенсация может включать значительные бонусы.

Сопроводительное письмо

I am writing to express my strong interest in the Analytics Engineer position at Rockstar Games. With over three years of experience in building scalable data systems and a deep passion for the gaming industry, I am eager to contribute to the Analytics Architecture team in London. My background in Python, advanced SQL, and cloud environments like Azure and Databricks aligns perfectly with your requirements for developing robust data infrastructure.

In my previous roles, I have successfully designed and optimized large-scale data pipelines and implemented CI/CD processes using Terraform and GitHub. I am particularly drawn to Rockstar's commitment to world-class entertainment and would welcome the opportunity to apply my technical skills in PySpark and Airflow to enhance your data quality frameworks and analytical workflows. I am confident that my proactive approach to troubleshooting and dedication to software development best practices will make me a valuable asset to your global analytics team.

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Откликнитесь в rockstargames уже сейчас

Присоединяйтесь к легендарной команде Rockstar Games и создавайте будущее игровой аналитики в самом сердце Лондона!

Описание вакансии

At Rockstar Games, we create world-class entertainment experiences.

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is on the lookout for a skilled Analytics Engineer with strong software development skills who is passionate about games and big data.

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of London.

WHAT WE DO

  • The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
  • We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games.
  • We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.
  • The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team.

RESPONSIBILITIES

  • Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights. Collaborate with the Data Engineering team to design data models and data pipelines.
  • Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability.
  • Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.
  • Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
  • Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow. Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes.
  • Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc.
  • Define and implement monitoring and alerting policies for data solutions.

REQUIREMENTS

  • 3+ years of experience in analytics engineering or data engineering Python.
  • Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
  • Experience working in Databricks & Azure environment (or other cloud equivalents).
  • Experience working with pipeline scheduling tools such as Airflow & Astronomer.
  • Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
  • Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
  • 3+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
  • Ability to push the frontier of technology and freely pursue better alternatives.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

  • Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
  • Streaming or NRT modeling experience.
  • Experience with PySpark.
  • Passion for technical mentorship.

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-CG1

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Навыки

  • Python
  • SQL
  • Databricks
  • Azure
  • Airflow
  • Astronomer
  • CI/CD
  • TeamCity
  • Terraform
  • GitHub
  • Octopus Deploy
  • PySpark
  • Data Modeling
  • Data Pipelines

Возможные вопросы на собеседовании

Проверка навыков оптимизации, критически важных для больших данных в Rockstar.

Расскажите о самом сложном SQL-запросе, который вы оптимизировали. Какие аналитические функции вы использовали и какого прироста производительности удалось добиться?

Оценка опыта работы с облачной инфраструктурой и инструментами обработки данных.

Опишите ваш опыт работы в среде Databricks. Как вы подходите к проектированию масштабируемых пайплайнов с использованием PySpark?

Проверка понимания процессов автоматизации и надежности систем.

Как вы организуете процессы CI/CD для инфраструктуры данных с использованием Terraform и TeamCity?

Оценка навыков решения проблем и обеспечения качества данных.

Расскажите о случае, когда вам пришлось проводить Root Cause Analysis при сбое в данных. Какие шаги вы предприняли для предотвращения повторения ситуации?

Проверка соответствия культуре компании и интереса к индустрии.

Как, по вашему мнению, аналитика данных может напрямую влиять на успех и развитие крупномасштабных игровых проектов, таких как игры Rockstar?

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