Senior Data Engineer, Live Nation

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent hands-on experience with data engineering
• Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL
• Experience designing and implementing data pipelines and ETL processes
• Good knowledge of MLOps principles and best practices to deploy, monitor and maintain machine learning models in production
• Familiarity with Git CI/CD and MLflow for managing and tracking code deployment or model versions
• Experience with cloud-based data platforms such as AWS or Google Cloud Platform
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data infrastructure issues
• Proficient in collaborating with data scientists and operational teams to understand their requirements and assist implementation of complex data pipelines
• A deep product focused mindset, with a desire to understand your customers and what will make their use of your output easier and more efficient
• Curious by nature, enjoy looking into problems around your core tasks, experimenting with potential solutions

Desirable

• We are seeking a highly skilled Senior Data Engineer to join our team and play a critical role in developing and maintaining our data infrastructure
• You will help shape the future of our data ecosystem and lead the design and implementation of robust, high-performance pipelines that power machine learning and innovation across the business
• The ideal candidate will have deep expertise in data platforms and tools, along with proven experience in building and optimizing data pipelines and ETL processes
• You’ll collaborate closely with talented data scientists, leverage modern technologies, and contribute to a highly regarded function within the company
• If you’re passionate about data engineering and want to join a team that values creativity, collaboration, and technical excellence, now is the perfect time to apply
• Work on very high-volume, real time data streams with billions of records daily
• Design, implement, and maintain data pipelines and ETL processes that enable real-time data-driven decision-making
• Collaborate with cross-functional teams to define technical requirements, develop scalable solutions and support growing data needs
• Continuously monitor and evaluate data infrastructure performance and identify opportunities for improvement and optimization
• Ensure compliance with data security and privacy policies and implement appropriate access controls and data governance frameworks
• Collaborate with data scientists, analysts, and other stakeholders to ensure that data infrastructure supports their analytical needs and requirements
• Build and maintain data warehouses, and other data infrastructure components that ensure data quality, accuracy, and availability