Python Data Engineer
2 weeks ago
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 Responsibilitie
- s:Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various source
- s.Database Management: Manage and optimize databases, ensuring data integrity, security, and performance. Implement best practices for database design, indexing, and maintenanc
- e.Data Integration: Collaborate with game providers, analysts and other stakeholders to integrate data sources, ensuring a unified and accurate view of data across the organizatio
- n.Performance Monitoring: Monitor and optimize the performance of data systems, identifying and addressing bottlenecks, ensuring scalability and minimizing cost
- s.Collaboration: Work closely with cross-functional teams, including data analysts and business intelligence teams, to understand data requirements and deliver solution
- s.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 interaction
- s.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 processe
- s.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 detectio
- n.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 relevanc
e
.
Qualificati
- ons:Bachelor's degree in Computer Science, Information Technology, or a related fi
- eld.Proven experience as a Python Data Engineer or a similar r
- ole.Strong proficiency in Python and experience with relevant frameworks and librar
- ies.Deep familiarity with SQL and query management practi
- ces.Solid understanding of data modeling, database design, and data warehousing conce
- pts.Experience with ETL processes and to
- ols.Knowledge of cloud platforms (e.g., GCP, AWS, Azure) and their data servi
- ces.Familiarity with big data technologies (e.g., Hadoop, Spark) is a p
- lus.Understanding of AI tools like Gemini and ChatGPT is also a p
- lus.Excellent problem-solving and communication ski
- lls.Ability to work independently and collaboratively in a fast-paced environm
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