Python Data Engineer

Position Overview:

As a Python Data Engineer at High 5 Casino, you will be responsible for designing, implementing, and maintaining data pipelines, databases and our in-house real-time player interaction software. You will collaborate with cross-functional teams to ensure seamless data integration, support data-driven decision-making, and contribute to the overall success of our gaming platforms.

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources.
• Database Management: Manage and optimize databases, ensuring data integrity, security, and performance. Implement best practices for database design, indexing, and maintenance.
• Data Integration: Collaborate with game providers, analysts and other stakeholders to integrate data sources, ensuring a unified and accurate view of data across the organization.
• Performance Monitoring: Monitor and optimize the performance of data systems, identifying and addressing bottlenecks, ensuring scalability and minimizing costs.
• Collaboration: Work closely with cross-functional teams, including data analysts and business intelligence teams, to understand data requirements and deliver solutions.
• Streaming Systems: Design and implement real-time data processing systems to handle streaming data, ensuring low-latency and high-throughput data processing for real-time player interactions.
• AI Integration: Collaborate with data scientists to deploy AI/ML models into production systems, ensuring proper integration, scalability, and performance. Enhance tools with AI-driven insights, predictive capabilities, and automated decision-making processes.
• AI-Powered Solutions: Develop AI-powered features for liveops, customer support, and fraud detection tools, such as automated ticket responses, player behavior analysis, and anomaly detection.
• AI Model Maintenance: Partner with data scientists to maintain, retrain, and fine-tune AI models based on new data and business requirements, ensuring continuous improvement and relevance.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Python Data Engineer or a similar role.
• Strong proficiency in Python and experience with relevant frameworks and libraries.
• Deep familiarity with SQL and query management practices.
• Solid understanding of data modeling, database design, and data warehousing concepts.
• Experience with ETL processes and tools.
• Knowledge of cloud platforms (e.g., GCP, AWS, Azure) and their data services.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Understanding of AI tools like Gemini and ChatGPT is also a plus.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.