
Chief Data Architect
1 day ago
Data Engineering Role Overview
Our company is seeking a highly skilled Data Engineer to design, develop and maintain scalable data pipelines that ensure high-quality, reliable data for player behaviour analysis, game performance and optimization.
- Lead Data Pipeline Development: Ensure large-scale slot game and player data is processed efficiently, leveraging strong experience in SQL, Python or other data engineering languages.
- Guarantee Data Quality and Reliability: Collaborate with cross-functional teams to guarantee integrity across multiple game systems and sources, requiring a deep understanding of data modeling, database design and performance optimization.
- Work with Structured and Unstructured Data: Implement ETL processes to work with structured and unstructured data from game events, staying up-to-date with modern data engineering technologies like real-time data streaming (Kafka, Kinesis, etc.).
Requirements
Essential Skills and Qualifications
- Expertise in Data Engineering Languages: Develop efficient data pipelines using strong experience in SQL, Python or other data engineering languages.
- Familiarity with Cloud Platforms and Data Pipeline Orchestration Tools: Streamline data workflows using familiarity with cloud platforms (AWS) and data pipeline orchestration tools.
- Understanding of Data Modeling and Database Design: Ensure data integrity by applying a deep understanding of data modeling and database design principles.
Benefits
What We Offer Our Team Members
- Competitive Salary and Bonuses: Reward hard work with competitive salaries and bonuses.
- Remote-Friendly and Flexible Work Environment: Enhance work-life balance with a remote-friendly and flexible work environment.
- Opportunity to Work on Innovative Projects: Grow professionally by working on large-scale, innovative slot game data projects.
- Collaborative and Fast-Paced Work Culture: Thrive in a dynamic, collaborative and fast-paced work culture.
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