Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Data Engineer (Spark/Python/Go): Designing and building scalable data pipelines and models for centralized player data and publishing activity with an accent on data model scalability, accuracy, and long-term usability. Focus on automating workflows for growth and content metrics, mentoring engineers, and optimizing high-performance data solutions for petabyte-scale data.
Location: Must be based in the USA (references to California and Washington state regulations)
Company
A global game developer dedicated to creating player-centric experiences through high-scale data processing and innovation.
What you will do
- Design and optimize scalable ETL pipelines for structured and semi-structured data supporting growth and publishing metrics.
- Implement robust data models that capture a complete ecosystem view of in-game and out-of-game experiences.
- Architect high-performance data solutions and automate workflows to enhance processing efficiency.
- Mentor data engineers across all levels, establishing technical best practices and fostering growth.
- Ensure data quality, governance, and compliance with regulatory standards such as GDPR and CCPA.
- Collaborate cross-functionally with product managers and analysts to deliver better player experiences.
Requirements
- 8+ years of experience in data engineering and tech-focused publishing or marketing fields.
- Strong expertise in Python, GoLang, Spark, Scala, SQL, Airflow, and dbt.
- Proficiency with cloud infrastructure (AWS or GCP) and Databricks.
- Experience designing scalable data models for large datasets across multiple teams.
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- Proven ability to mentor other engineers and work cross-functionally.
Nice to have
- Experience in the gaming industry or with large consumer platforms.
- Track record of leading data modernization or transformation initiatives in complex environments.
- Experience designing semantic layers or standardized business metric frameworks.
- Ability to influence standards within a matrixed organization.
Culture & Benefits
- Open paid time off policy and flexible work schedules.
- Comprehensive medical, dental, and life insurance.
- 401k plan with company match.
- Parental leave for employees and their domestic partners/children.
- A collaborative, player-first culture that empowers unique perspectives.
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