
Lead Data Pipeline Specialist
4 days ago
Job Summary:
We are seeking a skilled Data Engineer with a strong background in data pipeline architecture, integration, and transformation techniques.
Key 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
- Strong experience in Python for backend or data engineering projects.
- Strong understanding and working experience with GCP cloud services.
- 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.
About the Ideal Candidate:
- Able to demonstrate 46 years of hands-on experience in Python programming.
What We Offer:
- A collaborative and dynamic work environment.
- Opportunities for growth and professional development.
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