17 часов назад
Senior Analytics Engineer (Databricks/Azure)
140 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Databricks/Azure): Building scalable data models, pipelines, and analytics infrastructure for large-scale game data with an accent on Python, PySpark, SQL, cloud platforms, and data quality. Focus on optimizing reliable data systems, implementing monitoring and alerting, and developing CI/CD workflows with Terraform and related tooling.
Location: In-office at ’ NYC headquarters in Downtown Manhattan, United States.
Salary: $140,000–$175,000 USD per year, plus potential bonus, equity awards, and benefits.
Company
creates large-scale interactive entertainment experiences and develops internationally distributed game projects.
What you will do
- Translate analytical needs from Data Scientists and business stakeholders into robust data infrastructure and workflows.
- Design, develop, and maintain scalable data models and pipelines with the Data Engineering team.
- Monitor performance and optimize data systems for reliability and high throughput.
- Build a Data Quality Framework with the Data Integrity team to ensure production data meets stakeholder and process SLAs.
- Perform root cause analysis and implement code and process fixes for data-related issues.
- Develop CI/CD, monitoring, alerting, documentation, testing, and engineering best practices for analytics solutions.
Requirements
- 5+ years of experience in analytics engineering or data engineering with Python and PySpark.
- 5+ years of hands-on experience writing and optimizing advanced SQL queries.
- Bachelor’s degree or equivalent in Computer Science, Mathematics, Statistics, engineering, or a related technical field.
- Experience building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
- Experience with Databricks and Azure or equivalent cloud platforms, plus Airflow or Astronomer.
- Experience with CI/CD tools including TeamCity, Terraform, GitHub, and Octopus.
Nice to have
- Knowledge of software development practices across the full lifecycle, including agile methodologies, code reviews, testing, and operations.
- Streaming or near-real-time data modeling experience.
- Passion for technical mentorship.
Culture & Benefits
- Collaborative work with Data Scientists, Data Engineers, Data Integrity specialists, and business stakeholders.
- Work on large-scale creative game projects in an inclusive and highly motivated environment.
- Potential bonus and equity awards in addition to base pay.
- Medical, financial, and other employee benefits may be included in the compensation package.
Hiring process
- Submit a resume and cover letter demonstrating the required skills.
- If selected, a Rockstar recruiter will contact the candidate with next steps.
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