Epsilon Solutions delivers expert information technology consultants who can contribute to a fast-paced and ever-changing technological world.

Epsilon Solutions

Job Title: Data Engineer (Celonis)

Location: Remote- US/ Canada

Term: Long Term Contract

 

Key Responsibilities

* Connect, extract, transform, and load data from diverse cloud and on‑premise systems (Azure, Oracle, SAP, BMC, ServiceNow, Salesforce, etc.) into process mining tools.
* Validate data accuracy between source systems and process mining platforms.
* Create KPIs and actionable insights to identify inefficiencies and root causes in business processes.
* Work with ERP and enterprise systems to understand data structures, reports, and formats.
* Develop workflows to monitor processes, detect anomalies, and implement automated corrective actions (Action‑engine, Action‑flows).
* Map processes, identify non‑value‑add steps, and recommend lean/agile improvements.
* Collaborate with technical and non‑technical stakeholders to design and prioritize process mining initiatives.
* Visualize and build dashboards aligned with client expectations.
* Apply critical thinking and problem‑solving to business challenges using process mining best practices.

Required Technical Skills

* 1–2 years of experience in Celonis Process Mining as a Data Engineer/Data Scientist.
* Hands‑on experience with ETL/ELT and BI tools (Tableau, Power BI).
* Strong SQL/PQL scripting skills; ability to write complex queries (joins, unions, window functions).
* Knowledge of process improvement techniques, analytics, and process mining methodologies.
* Basic Python scripting (Numpy, Pandas, Seaborn, Matplotlib, Scikit‑Learn).

Desired Technical Skills

* Experience with other process/task mining tools (Signavio, Software AG, FIQ, Soroco).
* Familiarity with ERP/CRM systems (SAP, Oracle, MS Dynamics, ServiceNow, Salesforce, Remedy).
* Exposure to ML modeling using Python or R.

Professional Skills

* Strong communication and presentation abilities.
* Solid understanding of business processes across domains (Finance, Procurement, Banking, Insurance, HR).

Soft Skills

* Self‑starter with quick learning ability.
* Adaptable to new technologies and process improvement techniques.
* Flexibility to work across time zones for global rollouts.

Education

* Bachelor’s degree in Computer Science, Information Technology, or equivalent.
* Data Science diploma/certification preferred.