Cloud Data Pipelines Engineer
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- Programming: Advanced proficiency in Python and/or R, with strong experience writing clean, modular, and well-tested code.
- Cloud Platforms: Hands-on production experience with either Google Cloud Platform (GCP) or Microsoft Azure.
- Containerization & CI/CD: Practical experience with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, GitLab CI).
- Data Stores: Proficiency with SQL and relational/non-relational data warehouses (PostgreSQL, BigQuery, Snowflake, or Azure SQL).
- Software Engineering Foundations: Solid grasp of version control (Git), automated testing practices, and API design principles.