PDDN INC.

ETL Data Engineer W2 Hiring.

PDDN INC. Columbus, Ohio, United States

IT Services and IT Consulting · 51-200 employees

3 h ago
data-engineer Senior (5-10 yrs) Contractor United States
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About the role

The ETL Data Engineer will design, develop, and maintain ETL pipelines and data models to support process-mining initiatives. They are responsible for ensuring data integrity, managing secure connections to source systems, and providing operational support for production jobs.

What they look for

ETL Data Modeling SQL PL-SQL Data Integration Celonis JDBC Kafka APIs Data Ingestion Process Intelligence Agile Scrum Kanban Data Governance

Requirements

Candidates should possess strong skills in SQL, PL-SQL, ETL processes, and data modeling. Experience with process-mining platforms like Celonis and familiarity with Agile methodologies are highly valued.

Full description

Job Description

Role name: ETL Data Engineer

Work Location: Columbus, Ohio

Start date: Immediate availability.

Background check MANDATORY

Job Type: Contract (C2C/W2)

Interview: Phone/Video

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.

 

Additional Information

All your information will be kept confidential according to EEO guidelines.

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