Role purpose

Maintains and enhances the data pipelines, transformations, data models, monitoring controls and releases that support the live warehouse solution and, once released, the transportation control tower.

Key responsibilities

- Monitor scheduled Celonis data jobs, extractions, transformations and refresh cycles

- Investigate and resolve failed loads, incomplete refreshes, reconciliation issues and performance degradation

- Maintain data connections to SAP ECC, logistics data repositories, Databricks, a TMS and related sources

- Support Celonis data models, activity tables, case tables, object tables and KPI calculations

- Troubleshoot data quality issues such as missing milestones, duplicates, timestamp inconsistencies and key mapping failures

- Maintain incremental loading and refresh mechanisms

- Perform root cause analysis for production data defects

- Implement approved data fixes, minor enhancements and configuration changes

- Maintain monitoring, reconciliation, audit, lineage and recovery controls

- Support testing, release preparation, deployment and post release validation

- Document transformations, data mappings, dependencies and operating procedures





- Take part in shift handovers and own engineering issues during the assigned shift

- Support the onboarding of recent control tower capabilities into sustainment

Required skills and experience

- 6+ years of data engineering, process mining, BI or enterprise data platform experience

- Hands on experience with Celonis Data Integration and Celonis data modelling

- Strong SQL and data transformation skills

- Experience with SAP ECC logistics data: orders, deliveries, material movements, warehouse or transportation records

- Familiarity with SAP extraction, APIs, JDBC connections, SFTP and incremental loading

- Experience with data reconciliation, defect analysis, performance tuning and release management

Preferred

- Celonis PQL

- Case centric process mining

- Object centric process mining

- SAP S/4HANA exposure

- Celonis Data Engineer certification

Success measures

- Timely and successful data refreshes

- Accurate, reconciled business data

- Fewer recurring job and transformation failures

- Controlled deployment of data model changes

- Complete technical documentation and runbooks

📌 Celonis Data Engineer - Sustainment (Bengaluru)
🏢 UST
📍 Bengaluru