Appliscale is seeking a Senior Data Engineer to join a team dedicated to enhancing player experiences for a world-leading game studio. You will work within the Data Experiences and Automation team to build robust, scalable data solutions that process petabytes of information, directly supporting decision science and AI/ML product development.
Key responsibilities
- Design, build, and optimize scalable data pipelines to support the Data Foundation ecosystem.
- Implement high-performance data models that ensure accuracy, scalability, and long-term usability.
- Automate complex workflows to reduce manual intervention and improve overall data processing efficiency.
- Optimize query performance and resolve pipeline bottlenecks to enhance data accessibility across the organization.
- Ensure strict data quality, governance, and compliance with global regulatory standards.
Requirements
- Minimum of 5 years of commercial experience in data engineering or a related field.
- Strong proficiency in Python, essential for advanced data processing and analysis tasks.
- Hands-on experience with DBT, Airflow, PySpark, and the Databricks platform.
- Solid understanding of AWS cloud infrastructure and large-scale distributed systems.
- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
What we offer
- Opportunity to work on high-impact data products for globally recognized gaming franchises.
- Collaborative environment focused on cutting-edge Machine Learning and GenAI pipelines.
- Professional growth through shaping engineering standards and organizational best practices.
- Fully remote work environment with a focus on global team collaboration.