Live Nation Entertainment is looking to empower and enable its data community by building a modern data platform to support enterprise data needs, maximizing functionality, creating value and content/data assets, cost optimizations and usability of the data delivery and services.
Requirements
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Hands-on experience with data processing frameworks like Apache Spark or Apache Flink.
- Hands on experience using version control systems such as Git and CI/CD workflows and practice
- Extensive knowledge of data warehousing, data modeling, relational databases, and NoSQL databases.
- Hands-on experience with AWS and cloud-based data services and solutions (e.g., Databricks).
- Hands-on experience with data compliance (eg. CCPA, GDPR, etc) and governance
- Proven track record of successfully architecting and delivering large-scale data solutions
Responsibilities
- Collaborate with stakeholders to understand and translate business requirements into technical specifications and designs.
- Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouses to support data ingestion, transformation, and storage.
- Evaluate and select appropriate technologies, tools, and frameworks for data processing, storage, and analytics, considering security, scalability, performance, and cost factors.
- Define and enforce data engineering best practices, standards, and guidelines to ensure data quality, reliability, and consistency.
- Architect and implement solutions for real-time data processing, streaming analytics, and batch processing.
- Conduct performance optimization, tuning, and troubleshooting of data infrastructure components to ensure optimal performance and resource utilization.
- Stay abreast of emerging trends, technologies, and best practices in data engineering, cloud computing, and big data analytics.
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 12+ years of software engineering experience, with a focus on designing and implementing data platforms.
- Excellent problem-solving skills, analytical thinking, and the ability to thrive in a fast-paced, dynamic environment.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Participate in on-call rotations/Pagerduty for data platform support.
