Position Details
About this role
This role involves maintaining and developing data pipelines, ensuring data quality, and building machine learning workflows to support analytics and forecasting.
Key Responsibilities
- Build and maintain data pipelines
- Implement data quality checks
- Develop ML pipelines
- Troubleshoot pipeline issues
- Document processes
Technical Overview
Focus on cloud data infrastructure, data pipeline frameworks, and ML model deployment within a SaaS environment using tools like GCS, BigQuery, and Python.
Ideal Candidate
The ideal candidate is a senior data engineer with experience building scalable data pipelines, working with cloud data warehouses like BigQuery, and developing machine learning pipelines. They should be proficient in Python and familiar with modern data tools.
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 experience with cloud data warehouses, No proficiency in Python, Inability to troubleshoot data pipeline issues
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