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