Title :- Senior Analytics Engineer SQL/Python
Duration - 6 months
Location - Redmond, WA – Remote, but 3 days onsite if near Redmond, WA
Visa – USC Only Citizen Work
Video game domain knowledge is important – as an experienced Player or industry veteran.
Summary
- Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access.
- Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfills the analytics requirements.
- Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs.
- Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information.
- Advance our infrastructure by developing and using frameworks, reusable components and new capabilities to achieve our mission.
- Develop enterprise grade data-serving API endpoints and underlying data products, analytics solutions, and infrastructure.
Required Qualifications
- Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work
- Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work
- OR equivalent experience.
- 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
- Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow (Azure experience preferred)
- Proficiency with SQL; Advanced skills with Python for data transformation and automation
- Backend development experience building secure and performant enterprise grade APIs (Azure experience preferred)