Kaizen Analytix

Data Engineer

• Analyze and consolidate historical workforce, FTE, and timekeeper data from multiple source systems.
• Design and develop automated data conversion and transformation processes to reduce manual effort and improve data quality.
• Extract data from APIs, databases, flat files, and other structured and unstructured sources.
• Perform data cleansing, standardization, validation, and enrichment activities to ensure data integrity.
• Transform and map source data to align with target system requirements and reporting standards.
• Produce standardized output files and datasets that conform to the target application's native data model.
• Partner with business stakeholders to gather requirements and translate business needs into technical data solutions.
• Conduct data quality assessments, reconciliation, and validation activities throughout the migration lifecycle.
• Support testing, dry-run conversions, and production migration activities.
• Troubleshoot data issues and implement corrective actions as needed.
• Document data mappings, transformation rules, conversion logic, and validation procedures.
• Collaborate with project managers, business analysts, and client stakeholders to ensure successful project delivery.