Responsibilities:

- Design and develop scalable, secure ETL/ELT data pipelines and data architecture
- Optimize data infrastructure and workflows for performance, reliability, and efficiency
- Integrate AI/ML tools (e.g., LLMs) into data pipelines and software solutions
- Collaborate with cross-functional teams (data scientists, engineers, product) to deliver data-driven insights and solutions

Must-Haves:

- BSc in Computer Science or related field
- Strong programming skills in Java and Python
- Excellent analytical and problem-solving skills
- Solid data engineering experience in ETL/ELT pipeline development and data modeling, with a focus on scalable, secure systems and best practices
- Hands-on experience using AI/ML tools (e.g., LLMs) in software development

Nice-to-Haves:

- Domain knowledge in the online gaming industry (iGaming data and player analytics)
- Experience with cloud data platforms, especially Microsoft Azure services
- Familiarity with big data and streaming tools (Apache Spark, Kafka)
- Experience with BI and data visualization tools (Power BI, Tableau)