Senior Platform Engineer (Databricks)

Job Summary:

WHO ARE WE?

Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide.  Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com.

WHO ARE YOU?

Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! 

THE TEAM

Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value.

The Core Data Services team consists of Platform Engineering, Data Engineering, Data Enablement and Operations teams. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms, so the focus is on maximizing functionality, creating value and content/data assets, cost optimizations and usability of the data delivery and services and all this is our measure of our success and defines us The Core Data Services Team! We are looking for a Data Engineer - Platform, You!

THE ROLE

This is a hands-on Senior Platform Engineer (Databricks) role that will require strong Python/PySpark coding skills. This is NOT a ETL/ELT development role.

WHAT THIS ROLE WILL DO

• Contribute to the enhancements and continuous improvement of performance and reliability of the existing Data Platform Services to meet the requirements from Data Engineering/Product team

• Design and build self servicing onboarding and automation capabilities in Core Data Platform services in a scalable, reliable and secure way.

• Design and build platform capabilities to support onboarding and operation effectiveness 

• Design and develop scalable data platform and integration solutions for various data sources leveraging Databricks Unified Platform

• Ensure data quality and integrity across all data systems.

• Ensure data security and compliance with relevant regulations.

• Implement best practices for data management and governance.

• Develop and maintain documentation for data systems and processes.

• Monitor and troubleshoot data platform issues.

• Participate in on-call rotations/Pagerduty for data platform support.

TECHNICAL SKILLS/COMPETENCIES

• Good understanding of Data Lakes, Data Warehouses is MUST to have

• Software development, coding expertise in the Data engineering field using any of the Python/PySpark is MUST to have

• Hands on experience using version control systems such as Git and CI/CD workflows and practice

• Design and Develop data ingestion services that are highly performant, reliable and scalable

• Decent expertise using ANSI SQL and Spark SQL is key to have

•  Workflow automation, orchestration using Airflow  or  equivalent tools stack

• Hands on working knowledge on at least in one of these : Databricks, Hadoop and related stacks

• Working experience

  • in at least one of cloud services from any of the Amazon AWS, Google GCP or Microsoft Azure, preferably AWS

  • streaming (Kafka) and batch based data sources

  • diverse data sources and data formats (xml, json, yaml, parquet, avro, delta) and respective use cases

• Any visualization experience is an advantage so you can bring clarity to prod incidents by using them is a nice to have

• An excellent understanding of the nuances that add complexities around time zones, geo, various data formats, data types across different storage systems