13 Ticketmaster Jobs

WHAT THIS ROLE WILL DO

This 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.