ETL Data Engineer

Role name: ETL Data Engineer
Work Location: Columbus, Ohio


Role and responsibilities:
Join a team delivering high-quality ETL and data-integration solutions to support Process Intelligence initiatives. You will design, develop, and maintain ETL pipelines and data models that feed process-mining platforms. Celonis and Celonis Platform Administration knowledge is optional - candidates with strong SQL/PL-SQL, ETL, data modeling and integration skills are encouraged to apply.
Responsibilities:
• Lead design, development, and implementation of ETL processes and data models to integrate source data into a Process Intelligence platform (e.g., Celonis).
• Participate in analysis sessions and work with data analysts to document data mappings and ETL requirements.
• Build reliable, secure connections to source systems (JDBC, Kafka, APIs) and validate data ingestion.
• Implement and optimize ETL pipelines for performance, scalability, and data integrity.
• Design and implement audits and reconciliation processes to ensure data completeness and correctness from application platforms to the process-mining environment.
• Provide operational support for production ETL jobs; troubleshoot failures and performance issues.
• Define and enforce governance, access control, and best practices for process data and ETL artifacts.
• Collaborate with business, PM, BA, and infrastructure teams to enable continuous improvement and automation opportunities.
• Support Agile delivery (Scrum/Kanban) and contribute to planning, estimation, and delivery activities.