LSports is the leading global provider of sports data, dedicated to revolutionizing the industry through innovative solutions. We excel in sports data collection and analysis, advanced data management, and cutting-edge services like AI-based sports tips and high-quality sports visualization. As the sports data industry continues to grow, LSports remains at the forefront, delivering real-time solutions. If you share our passion for sports and technology and have the drive to advance the sports-tech and data industries, we invite you to join our team!

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Data Engineer.

About the team: Data Integrity

LSports Data Integrity is one of the main pillars of the company's offering and long-term strategy.

We are pushing the boundaries of real-time analysis, utilizing machine learning and artificial intelligence to find the delicate balance between low latency and data accuracy.

Responsibilities:

• Building production-grade data pipelines and services
• Design and Build data-lake/lakehouse
• Taking ownership of major projects from inception to deployment
• Architecting simple yet flexible solutions, and then scaling them as we grow
• Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
• Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.

Requirements:

• 3+ years of experience delivering production-grade data pipelines and backend services
• 2 + years of experience using Spark/Presto/ Trino or similar
• Experience building data pipelines, and working in distributed architectures
• Experience with SQL and NoSQL Databases
• Experience with designing and implementing data lake/warehouse
• Experience with Snowflake/Databricks/Sagemaker or similar – Advantage
• Knowledge and understanding of work in a modern CI environment: Git, Docker, K8S - An advantage
• Experience with ETL tools: AWS Glue, Apache Airflow, etc... - An advantage
• Experience with Kafka - Advantage
• Experience with Kafka Connect (Java) - Advantage