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Data Engineer Semi Senior
Remote · Full time · Mid level
About the role
Design, develop, and maintain robust, scalable data pipelines using Google Cloud Platform. Work on implementation projects prioritizing data quality, traceability, and efficiency.
What you’ll do
• Design and maintain scalable data pipelines with Google Cloud tools. • Integrate data sources via REST APIs ensuring data availability. • Manage and transform data using BigQuery, Dataform, Cloud Storage. • Implement real-time messaging and event processing with Pub/Sub. • Document processes and collaborate with Analytics, Engineering, Product teams.
What you’ll bring
• 3+ years in Data Engineering with pipeline implementation experience. • Proficient in Google Cloud Platform: BigQuery, Dataform, Pub/Sub, Cloud Storage. • Strong Python skills for scripting and API consumption. • Advanced SQL for modeling, complex queries, and optimization. • Experience with REST API integration and data normalization. • Knowledge of data engineering best practices: versioning, testing, documentation.