
Cloud Data Architect
1 day ago
As a seasoned data engineer with 5+ years of experience, you will be responsible for designing and implementing scalable data pipelines on Google Cloud Platform (GCP).
We are seeking a highly skilled professional to lead our data engineering efforts. If you have expertise in GCS, BigQuery, Apache Airflow, and Python, we would love to hear from you.
- Design and implement robust data pipelines using GCS, BigQuery, and Airflow.
- Develop efficient ETL/ELT processes using Python and integrate with data orchestration tools.
- Collaborate with cross-functional teams to deliver high-quality solutions.
Key Skills:
- Google Cloud Platform (GCP): In-depth experience with core services like GCS, BigQuery, IAM, and Cloud Functions.
- BigQuery (BQ): Expertise in data modeling, performance tuning, and large-scale analytics.
- Apache Airflow: Experience in authoring and managing DAGs for complex workflows.
- Python: Proficient in scripting and automation, including working with APIs, data processing libraries, and custom operators in Airflow.
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