An enterprise financial services organization is seeking an Oracle HCM Data Engineer to support HR data modernization and analytics initiatives in a remote environment. This role will focus on building and maintaining data solutions that improve reporting, data quality, and governance across the enterprise.
About the Opportunity:
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
Qualifications:
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
Desired Skills:
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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