Data Engineer - Data Warehousing (5-10 yrs)

We have an open position for Data Engineer By Live Nation Entertainment, Headquartered in Hollywood, LA, USA. (Remote, US Shift)

Data Engineer (Remote, US Shift)

Location : Remote

Experience : 5 to 10 Years

Job Description :

Company Size : 5000 to 20000

Live Nation Entertainment, Inc. is a leading entertainment company, headquartered in Hollywood, LA, USA. Great Place to Work- and listed in NYSE. Bringing 40,000 shows and 100+ festivals to life and selling 500 million tickets per year is a massive undertaking, made possible by our 44,000 employees worldwide. Among world's leading companies that Care!

Mandatory Skills : Data Engineering, Data Lake, Oracle BICC/BIP, Data Extraction, Etl Tools, Oracle Fusion, Big Data, Databricks, Data Ingestion, Medallion Architecture

Additional Skills : fivetran, Sksplashview, Git, Ci/cd Concepts

Job Description :

Seeking an experienced Data Engineer who can play a crucial role in the company's fintech data lake project.

Technical/Functional Skills :

Must have :

- 5+ years of experience working in data warehousing systems

- Strong experience in Oracle Fusion ecosystem, with strong data-extracting experience using Oracle BICC/BIP.

- Must have good functional understanding of Fusion data structures.

- Must have strong and proven data engineering experience in big data / Databricks environment

- Must have hands-on experience building data ingestion pipelines from Oracle Fusion Cloud to a Databricks environment

- Strong data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture

- Capable of independently delivering work items and leading data discussions with Tech Leads & Business Analysts

Nice to have :

- Experience with Fivetran or any equivalent data extraction tools is nice to have.

- Experience in supporting Splash report development activities is a plus.

- Prefer experience with Git, CI/CD tools, and code management processes

The candidate is expected to :

- Follow engineering best practices, coding standards, and deployment processes.

- Troubleshoot any performance, system or data related issues, and work to ensure data consistency and integrity.

- Effectively communicate with users at all levels of the organization, both in written and verbal presentations.

- Effectively communicate with other data engineers, help other team members with design and implementation activities.