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Jobs/Documentation Jobs/Senior Data Operations Engineer

Senior Data Operations Engineer

Rockstar GamesLondon, England, United Kingdom3w ago
In OfficeSeniorEMEAArtificial IntelligenceData AnalyticsSenior Data EngineerDocumentationSQLPythonDockerAirflow

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Requirements

  • Bachelor’s degree in a relevant field (e.g. Data Analytics, Computer Science, Mathematics, Business, or related).
  • 4+ years of experience in analytics, data operations, ML operations, etc.
  • Experience with SQL and Python (PySpark).
  • Experience with containerization and CI/CD tools (Docker, TeamCity, Octopus, JFrog Artifactory, GitHub).
  • Experience with Orchestration tools (Airflow, Prefect others).
  • Experience with cloud data platforms, particularly Databricks and Snowflake is preferred.
  • Excellent written and verbal communication skills, with a focus on technical documentation.
  • Passion for Rockstar Games and our titles.
  • PLUSES
  • PLUSES
  • Please note that these are desirable skills and are not required to apply for the position.
  • Experience with Data Quality tools and frameworks.
  • Experience with MLOps tools and frameworks.
  • Experience using tools such as Grafana, Prometheus, Elastic to monitor systems, metrics, and create dashboards.
  • Familiarity with building and supporting process alerting at an Enterprise scale.

Responsibilities

  • Collaborate with Data Scientists and Engineers to understand process flows and business needs. Design and implement standardized alerts and runbooks to streamline issue identification and resolution in Rockstar’s Analytics data platform.
  • Partner with other Analytics Engineering, MLOps and Data Integrity teams to monitor the health and success of our ongoing processes. Create both manual and automated processes to ensure that we are meeting our Data Contracts and standards.
  • Establish a framework for monitoring, alerting and reviewing Data Pipelines and ML models to ensure they are aligned with our best practices for efficiency, cost, quality, and stability.
  • Provide technical expertise for the data science team to utilize APIs, libraries, automation, and other technologies to improve and streamline our workflows
  • Provide Level 1 support for urgent issues or outages during regular work hours, enforcing SLAs/SLOs. Conduct root cause analysis, develop Correction of Errors documents, and ensure seamless handovers to US/UK time zone teams for unresolved critical issues.

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