Data Engineer – Mid-level
Rio de Janeiro, Rio de Janeiro, Brazil
Full Time
1 week ago
No Sponsorship
Key skills
CloudETLGoogle Cloud PlatformPySparkPythonSQLTerraformELTLookerBIGCPGoogle CloudGitSource ControlAgileCI/CD
About this role
Role Overview
- Development and maintenance of data pipelines (ETL/ELT);
- Working in a cloud environment, preferably GCP (Google Cloud Platform);
- Data integration with BI tools (e.g., Looker);
- Building solutions following a layered data architecture;
- Implementing best practices for data governance, quality, and security;
- Collaborating with cross-functional teams in an agile model;
- Supporting the evolution of CI/CD processes for data pipelines.
Requirements
- Experience developing data pipelines (ETL/ELT);
- Experience with GCP (strong plus);
- Strong knowledge of SQL, Python, and/or PySpark;
- Experience with source control (Git);
- Familiarity with agile methodologies;
- Basic knowledge of CI/CD applied to data;
- Knowledge of Terraform (plus);
- Experience with best practices for data security, governance, and quality;
- Experience with layered data architecture;
- Experience integrating with BI tools (e.g., Looker).
Tech Stack
- Cloud
- ETL
- Google Cloud Platform
- PySpark
- Python
- SQL
- Terraform
Benefits
- Development and maintenance of data pipelines (ETL/ELT);
- Working in a cloud environment, preferably GCP (Google Cloud Platform);
- Data integration with BI tools (e.g., Looker);
- Building solutions following a layered data architecture;
- Implementing best practices for data governance, quality, and security;
- Collaborating with cross-functional teams in an agile model;
- Supporting the evolution of CI/CD processes for data pipelines.