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What You'll Be Doing
- Design, develop and maintain efficient, scalable data pipelines to support BI and analytics.
- Ensure data accuracy, integrity, and security across all systems.
- Collaborate with the BI team to provide the infrastructure needed for actionable insights.
- Optimize ETL processes for speed and reliability.
- Proactively evaluate and integrate new tools and technologies into existing systems, focusing on scalability and innovation.
- Troubleshoot, debug, and resolve complex technical challenges in a fast-paced environment.
- 4+ years of experience in data engineering or a similar role.
- Expertise in ETL processes, data pipelines, and managing large-scale data systems.
- Proficiency in SQL, Python, and microservice architectures.
- Experience building OLAP databases and integrating them with BI tools like Power BI, Tableau, or similar platforms.
- Strong understanding of data ingestion, database design, data warehouse, and data lake concepts, as well as best practices for data management.
- Problem-solving mindset with the ability to resolve complex technical challenges.
- Experience with real-time data streaming platforms such as Apache Kafka.
- Experience building data pipelines on AWS.
- Experience with Redash and Clickhouse.
- Understanding of AI/ML workflows for data science.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Understanding of iGaming market, game provider business model and relevant metrics
- Entrepreneurial mindset to thrive in a fast-paced environment.
- Competitive compensation with transparent bonus structures.
- Comprehensive medical insurance and life event financial support.
- Unlimited vacation and sick leave policies.
- Opportunities to attend industry-leading events and grow professionally.
- Access to cutting-edge technology and tools in a dynamic industry.
Key Skills
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