Key skills
AWSBigQueryCloudGoogle Cloud PlatformPythonSQLData EngineeringAnalyticsGCPGoogle CloudGlueSAPCommunication
About this role
Role Overview
- Design, develop, and maintain scalable, resilient, and reliable data pipelines
- Work with complex data flows, integrating multiple sources and systems
- Build data processing solutions using Python and SQL
- Implement and support data solutions on GCP, with a focus on BigQuery and Dataflow
- Work with AWS services, especially AWS Glue (where applicable)
- Ensure data engineering best practices: versioning, testing, monitoring, and documentation
- Collaborate with multidisciplinary teams (IT, business, architecture, and analytics)
- Support initiatives related to SAP EWM, ensuring efficient integration with analytics platforms
Requirements
- Proven experience as a Senior Data Engineer
- Advanced proficiency in Python and SQL
- Hands-on experience with Google Cloud Platform (GCP) (mandatory), particularly BigQuery and Dataflow
- Demonstrated experience developing and maintaining complex data pipelines
- Background in large-scale corporate environments (manufacturing preferred)
- Intermediate to advanced English for professional communication
Tech Stack
- AWS
- BigQuery
- Cloud
- Google Cloud Platform
- Python
- SQL
Benefits
- Hybrid model (3 days in the office)
- Availability to travel within the Vale do Paraíba region