Job Description

Job Summary:Title: Senior Data Engineer - PlatformLocation: New DelhiWho are we?Live Nation Entertainment is the worlds leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. is the global event ticketing leader and one of the worlds top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the worlds top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit .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 TEAMCore 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!WHAT THIS ROLE WILL DOThis is a hands-on Data role with strong Python/PySpark coding skills

• 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.
• 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/Pandas/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 is nice to have
• Agile development methodologies using the Atlassian suite: Jira, Confluence
• Collaborate with cross-functional teams to deliver data solutions and provide technical support and guidance to team members.
• Stay up to date with the latest data engineering technologies and trends.

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Live Nation Entertainment