Agility Partners is seeking a qualified Senior Analytics Engineer to fill an open position with a Fortune 15 company based in the greater Seattle area.
This is an exciting opportunity to join the data and analytics team, working on projects to build a new analytics environment for a leading gaming platform.
As a Senior Analytics Engineer, you will play a crucial role in designing, building, and maintaining the analytics environment, contributing to the continuity of support and necessary engineering system requirements and changes.
This role offers the chance to work with cutting-edge technology and directly impact the gaming experience for millions of users.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
In this role you will :
- Collaborate with data consumers and stakeholders to understand their data needs.
- Design data models, architect dataflows, and create technical requirements to deliver solutions.
- Build and maintain automated data pipelines to source and transform data into clean, enriched, and optimized polyglot data models.
- Write and maintain technical documentation for the data models and analytics solutions.
Benefits and Perks
- Hybrid position in Redmond, Washington.
- Opportunity to work as a Senior Analytics Engineer lies in shaping the future of data analytics for a leading gaming platform, impacting millions of users worldwide with innovative solutions.
- Culture-focused company focused on customer-first and a growth mindset.
- Great resume builder gain experience with a Fortune 15 company.
- Medical, Dental and Vision plans (PPO and HSA plans available); Individual and Family coverage offerings.
- Long and short term disability coverage.
- 401(k).
The Ideal Candidate
- 5+ years working as a data engineer or equivalent on large enterprise systems.
- Critical thinker and problem solver with a proven track record building and optimizing big data pipelines.
- Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL / ELT, data products, or Machine Learning; Azure.
- Strong Python skills for data processing combined with a pythonic mindset. Proficient SQL.
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