
Data Engineering Professional
1 day ago
We are seeking an experienced data engineering professional to drive large-scale data processing systems.
Key Responsibilities:
- Design and develop large-scale data processing systems using Python, Terraform, and GCP Cloud Run.
- Collaborate with cross-functional teams to integrate data pipelines and ensure seamless data flow.
- Develop scripts for data ingestion, processing, and storage in Big Query, Cloud SQL, and Data Fusion.
- Work closely with data scientists to design and implement data products using GCP native services.
- Ensure high-quality code and follow best practices for software development.
Requirements:
- 5+ years of experience in SQL development and analytics/data product development.
- 3+ years of Google Cloud experience with solutions designed and implemented at production scale.
- Experience working in GCP native services like Big Query, Cloud Storage, Dataflow, Dataproc, etc.
- 1+ Experience working with Terraform to provision Infrastructure as Code.
- 2+ years of professional development experience in Python.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications:
- Experience working with Airflow for scheduling and orchestration of data pipelines.
- Education Preferred: Bachelor's Degree.
Programming Languages: Python
Cloud Platforms: GCP (Google Cloud Platform)
Databases: Big Query, Cloud SQL
Tools: Terraform, Airflow, Dataflow, Dataproc
Operating Systems: Linux/Unix-based systems
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