One of our biggest entertainment clients is looking to bring on a new Data Engineer. The Fintech team is upgrading their Oracle apps to Oracle Cloud. As part of that uplift, they are migrating data from existing SAP applications to Oracle Fusion. This team primarily grabs data from Oracle Cloud. There is a brand new implementation of a data lake and data warehouse for fintech. There is a brand new initiative where they are bringing in data from multiple ERP systems (Oracle Fusion, SAP, Salesforce Data) and dumping this data into Databricks. From there, they will create meta-linear architecture, refine the data, and create reports out of it. This project is still in the beginning phases with a go-live date that is coming up.
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This person will primarily be focusing on data engineering activities. They will be working with ETL scripts. This person will leverage the existing architecture and landscape to extract new datasets into data bricks and try adhere to the standards of the data.
· 5+ years of experience working in data warehousing systems
· 3+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development
· 3+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture
· 2+ yrs work experience in one of cloud platforms: Azure, AWS or GCP
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.