Senior Data Engineer - Databricks Platform

3 days ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+3 more states

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote

💵 $128k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Live Nation Entertainment

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Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.

Concerts • Festivals • Ticketing • Sponsorship • Artist Management

10,000+ employees

Founded 1996

📱 Media

💰 Post-IPO Debt on 2023-01

📋 Description

• This is a hands-on Data Engineering role that will require 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. • 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.

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) • Paid time off policy including holidays, sick time, and day off for your birthday • Free concert tickets • 401(k) program with company match • Stock Program Reimbursement • New parent programs & support including caregiver leave and baby bonus, infertility support • Tuition reimbursement, student loan repayment, internal growth and development programs & trainings • Volunteer time off, crowdfunding network