We're looking for a GCP Data Engineer to create and implement modern data architectures on Google Cloud Platform (GCP). You'll design, maintain, and optimize parallel processing systems, and actively participate in data transformation and modeling using dbt.
Requirements
- At least 2 years of experience as a Data Engineer working with Google Cloud Platform (GCP)
- Expertise in BigQuery, Dataflow, Composer, Pub/Sub, Datastream, and Cloud Storage
- Experience with dbt for analytical data modeling and transformation
- Experience with Spark, PySpark, and data pipeline development
- Solid knowledge of advanced SQL (T-SQL, Spark SQL)
- Experience in designing and maintaining Data Warehouses and Data Lakes
- Knowledge of governance and security strategies (Row-Level / Column-Level Security, IAM)
Benefits
- Wellness program
- Opportunities for specialization and growth
- Freedom and training to create innovative solutions
- Participation in cutting-edge technological projects
