Data Engineer
1 week ago
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.
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