
Data Engineer
2 weeks ago
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 :
- 46 years of hands-on experience in Python for backend or data engineering projects.- 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.).
(ref:hirist.tech)-
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