Position Details
About this role
This role involves designing and maintaining data pipelines and ML workflows on Google Cloud, enabling data-driven decision-making at scale.
Key Responsibilities
- Architect and maintain data pipelines
- Implement data models and governance
- Deploy ML models on GCP
- Ensure pipeline reliability and performance
- Collaborate with ML and data teams
Technical Overview
Environment includes Google Cloud Platform, BigQuery, Vertex AI, DataFlow, Pub/Sub, Cloud Run, GKE, Terraform, and Python for data engineering and ML deployment.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in Google Cloud Platform, data pipeline development, and machine learning integration, capable of building scalable data and ML platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of GCP experience, No data pipeline development experience, No experience with BigQuery or Airflow
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