[Remote] Oracle HCM Data Engineer
Note: The job is a remote job and is open to candidates in USA. Tandym Group is an enterprise financial services organization seeking an Oracle HCM Data Engineer to support HR data modernization and analytics initiatives in a remote environment. The role involves building and maintaining data solutions that enhance reporting, data quality, and governance across the enterprise.
Responsibilities
- Develop and maintain complex SQL queries, database objects, and data transformations across SQL Server and Oracle environments
- Support HR data modernization efforts by translating legacy SQL Server logic into Oracle HCM-based solutions
- Build BI Publisher and BICC reports to source, validate, and analyze HR data
- Create and maintain technical documentation, including data definitions, business rules, mappings, lineage, and governance artifacts
- Partner with business and technical stakeholders to define requirements, troubleshoot issues, and ensure data quality across reporting and analytics platforms
Skills
- 7+ years of experience in data engineering, data integration, data warehousing, or a related field
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related discipline, or equivalent experience
- Advanced SQL development expertise, including complex joins, analytical/window functions, and performance optimization
- Hands-on experience with SQL Server and Oracle SQL
- Experience with Oracle HCM Cloud, including front-end functionality and backend data structures
- Experience using Oracle Analytics tools such as BI Publisher and BICC
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- Ability to work independently and manage multiple priorities in a dynamic environment
- Experience supporting HR data modernization or migration initiatives
- Experience working with legacy HR platforms such as PeopleSoft
- Knowledge of enterprise data warehousing concepts, including fact tables and historical data design
- Experience supporting data governance, data lineage, and data quality initiatives
- Experience working within Azure-based data and analytics environments
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