ETL Engineer – SAP BusinessObjects
- Nashville, TN, United States
From $41 USD / hour
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Job details
- Pay
- From $41 USD / hour
- Experience
- 5+ years of experience in ETL development, data engineering, or enterprise data warehouse environments
- Posting language
- English
- Posted
Original job description
Required Skills & Experience
5+ years of experience in ETL development, data engineering, or enterprise data warehouse environments Hands-on SAP BusinessObjects (BOBJ) experience Experience developing BusinessObjects Universes Hands-on Web Intelligence (WebI) report development Strong experience building, testing, deploying, and troubleshooting ETL processes Strong Enterprise Data Warehouse (EDW) experience Experience with source-to-target mapping, transformation logic, and business rules Strong SQL, relational database, and data modeling skills Experience troubleshooting data across the full lifecycle: Source System → ETL → EDW → Reporting Experience with production/L3 support and root-cause analysis Strong communication skills with technical and nontechnical stakeholders
Nice to Have Skills & Experience
DMExpress experience Healthcare industry experience Credentialing data experience Data governance and data quality experience BusinessObjects or ETL platform upgrades/patches Release/change-management experience Experience in large, complex enterprise data environments
Job Description
We are looking for an ETL Engineer with 5+ years of experience supporting enterprise data environments. This individual will work across the full data lifecycle, from source systems through ETL and the Enterprise Data Warehouse to SAP BusinessObjects reporting.
This person will build and maintain ETL processes, develop and enhance BusinessObjects Universes and WebI reports, create source-to-target mappings and transformation logic, and support enhancements to the Enterprise Data Warehouse.
They will also troubleshoot failed data loads, inaccurate data, reporting issues, and performance problems, performing root-cause analysis to determine whether issues originate within the source system, ETL process, data warehouse, or reporting layer.
The ideal candidate is someone who can work end-to-end with data, while partnering with business users, application teams, data teams, and platform administrators to ensure reporting data remains accurate, reliable, and available.