Egen - Data Engineer - Google Cloud Platform

Responsibilities :

- Design, develop, test, and maintain scalable ETL data pipelines using Python.

- Work extensively on Google Cloud Platform (GCP) services such as:

- Dataflow for real-time and batch data processing

- Cloud Functions for lightweight serverless compute

- BigQuery for data warehousing and analytics

- Cloud Composer for orchestration of data workflows (based on Apache Airflow)

- Google Cloud Storage (GCS) for managing data at scale

- IAM for access control and security

- Cloud Run for containerized applications

Qualifications :

- Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).

- Solid understanding of data pipeline architecture, data integration, and transformation techniques.

- Experience in working with version control systems like GitHub and knowledge of CI/CD practices.

- Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).