Data Engineer
Posted Updated
Description
- Strong hands-on experience with GCP ecosystem (BigQuery, Dataflow, Composer/Airflow, Cloud Storage, Cloud Run)
- Proficiency in SQL, Python / PySpark for data engineering and automation
- Experience in supporting data pipelines, including monitoring and troubleshooting
- Hands-on experience with DBT (Data Build Tool) for data transformation and modelling, enabling modular, reusable, and testable data pipelines
- Experience with LBG schedulers (e.g., TWSD) and cloud-native orchestration
- Knowledge of data ingestion patterns (e.g., Datafusion or Dataflow)
- Proven experience in production support, covering Incidents, Change Requests (CRs), and Problem Management (PRBs)