Data Engineer - Data Warehousing

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. (ref:hirist.tech)

Location: India, IN

Posted Date: 10/23/2024