Senior Data Engineer with GCP
We are looking for a Senior Data Engineer to contribute to a GCP-based data platform project. The position centers on developing and sustaining data pipelines and analytics infrastructure within Google Cloud Platform, helping shape a scalable and dependable data ecosystem that drives reporting and analytics throughout the organization.
Responsibilities
- Design, build, and maintain data pipelines leveraging Dataflow on GCP
- Develop and fine-tune data models and queries within BigQuery
- Create and maintain reporting and analytics layers with Looker (or comparable BI tooling)
- Contribute to the architecture and progression of the wider GCP Data Platform
- Apply data governance standards, covering access controls, data quality, lineage, and documentation across pipelines and datasets
- Collaborate with cross-functional teams to convert data requirements into scalable technical solutions
- Monitor and resolve issues related to data pipeline performance and reliability
Requirements
- 3+ years of hands-on experience in data engineering
- Understanding of GCP-based data platform architecture
- Proficiency in BigQuery, covering schema design, query optimization, and performance tuning
- Expertise in Dataflow for developing batch and/or streaming data pipelines
- Familiarity with Looker or equivalent BI/analytics tooling
- Skills in SQL and knowledge of data engineering fundamentals (ETL/ELT, data modeling)
- Fluent Portuguese speaker with English at B2 level for team collaboration
Nice to have
- Background in data governance approaches, encompassing access management, data cataloging, and lineage
- Familiarity with compliance factors relevant to data platforms
