Data Engineering Specialist

• Design, develops, construct, test, and maintain large-scale data management systems. 
• Data warehousing
• ETL processing
• SSRS reporting
• Understanding data pipeline architecture
• Working with metadata
• Workforce Analytics cube or any future big data lakes
• Ensure the system meets business requirements and Master Data standards
• Implement ways to improve data reliability and quality
• Design and maintain and implement Extraction, Load, and Transform (ETL) processes
• Enhance data collection procedures from heterogeneous data sources in the data warehouse
• Collaborate with business Data engineers on technical aspects of source systems data integration.
• Document detailed data dictionaries and sources to target mappings specifications
• Employ a variety of data science languages and tools to marry systems together (parallel processing from different source systems)
• Maintain data integrity and security
• Derive metrics and visualizations for effective insights
• Development of Dashboards and Assets

Personal Attributes and Skills

• Analytical
• Multi-disciplined – Computer Science, Mathematics, Statistics
• Critical thinker and Problem Solver
• Verbal & written communication
• Team-Oriented and Collaborative
• Execution oriented
• Proactive and resourceful

Education and Experience

Essential

• Bachelor’s Degree in informatics/Analytics
• 5 years’ experience with Data Lakes and SQL
• 5 years experience in Data Modelling and Data Mining
• 3 years’ experience in Dashboard design, storytelling, and development
• 3 years managing analytics projects from inception to Go-Live

Advantageous

• Experience with Success Factors Data
• Understanding of HR principles and concepts advantageous
• Python programming
• ETL development
• Experience in Microsoft Azure environment
• MapReduce processing