Full Job Description
Position Summary
The Data Engineer role within the Workforce Planning and Analytics team presents an exciting opportunity to work on large-scale data infrastructure projects through development and maintenance of our new workforce analytics data platform. The ideal candidate will have a strong background in data engineering and data architecture with an interest in performing data analysis and reporting. You will collaborate with cross-functional teams supporting Human Resources and Information Technology with responsibility to build and optimize data pipelines, data integration processes, and data storage solutions.
Responsibilities
- Conduct exploratory analysis of workforce data to ensure a deep understanding of workforce data structure, data availability, and data integrity
- Establish and maintain metadata about workforce data to ensure clarity and alignment on workforce data definitions, workforce metrics, and workforce data availability
- Build data models that support dynamic and efficient data analysis and collaborate with cross functional teams to maintain and evolve those models over time
- Create and enable the generation of ad-hoc / on-demand data sets for use by analysts, BI developers and data scientists
- Support data integrity through ownership of automated monitoring that identifies occurrence of data problems
- Ensure alignment to coding standard methodologies and development of reusable code
- Provide ad-hoc reporting and visualization development
Job Requirements
- Minimum 2 years of experience working in the following fields: Data Engineer, Analytics Development, Data Science, or Business Intelligence Development
- Bachelors’ or above in quantitative discipline: MIS, Data Science, Economics, Mathematics, Engineering, or related field required
- Experience performing data engineering to support reporting, analysis and data science
- Experience harmonizing disparate enterprise data into single version of truth data model for downstream analysis and reporting
- Experience supporting data governance, master data management, data catalogs, and enterprise data warehouse architecture
- High Proficiency in:
- SQL
- Python
- Dimensional Modeling and Relational Databases
- Data pipeline development, workflow management, and orchestration tools
- ETL optimization and best practices
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
- Flexibility to function in a full stack data development capacity including analysis and visualization development as needed
- Experience with data visualization platforms preferred including Tableau, Power BI.
- Experience with Oracle HCM Analytics platform preferred
Job Information
Job Category:
Information Technology
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