What are the responsibilities and job description for the Data Engineering - Oracle Fusion Cloud position at VeriiPro?
Roles and Responsibilities
- Develop and manage data transformation and ETL processes using Spark, Python, PySpark, and HiveQL.
- Build and maintain data ingestion pipelines from Oracle Recruitment Cloud to Big Data environments, whether cloud-based or on-premises.
- Perform data processing tasks for cleansing and curating data using Spark/Python, ensuring data quality and preparation for analytical models.
- Utilize familiarity with data models and business processes in the Talent & Learning modules of Oracle Fusion Cloud.
- Demonstrate strong data-savvy and analytical skills to interpret and manage complex data.
- Independently deliver work items and lead data discussions with Tech Leads, Architects, and Implementation Partners.
- Experience with CI/CD tools and code management processes is preferred.
- Prior experience transitioning from Taleo to Oracle Fusion Cloud is a plus.
Required Qualifications
- 5-8 years of experience in data engineering within a Big Data environment.
- Proven skills in Spark, Python, PySpark, and HiveQL.
- Hands-on experience in building data ingestion pipelines from Oracle Recruitment Cloud to Big Data environments.
- Strong background in data processing and analytical model preparation.
- Familiarity with Oracle Fusion Cloud's Talent & Learning modules is essential.
- Experience with CI/CD tools and code management processes is preferred.
- Prior experience with the transition from Taleo to Oracle Fusion Cloud is advantageous.
