Engenheiro de Dados GCP Sênior (GCP / Databricks)
Core
Design and evolve scalable data solutions on Google Cloud Platform, focusing on ingestion, transformation, and delivery pipelines with a strong emphasis on data quality, governance, and cost optimization.
Role type
Senior hands-on IC data engineer (GCP/Databricks)
Builds
Scalable data pipelines, data warehouses, data lakes, and lakehouse architectures on GCP
Domain
Cloud data engineering and modernization
Deliverable
production ML models | product features
Required skills
GCP services (BigQuery, Dataflow, Cloud Composer/Airflow, Pub/Sub), Databricks, SQL, Python, ETL/ELT, dimensional modeling, data governance, observability, Terraform, Git, CI/CD
Preferred skills
Docker, Kubernetes, Dataplex, Looker, MLOps, event-driven architectures, technical roadmap planning
Technologies
BigQuery, Dataform, Cloud Storage, Pub/Sub, Cloud Composer/Airflow, Dataflow, Cloud Functions, Cloud Run, Looker, Databricks, Terraform, Docker, Kubernetes, Dataplex
Responsibilities
Design and implement scalable data pipelines and architectures; Develop ingestion, transformation, and data availability processes; Define technical standards and reusable frameworks; Ensure performance, reliability, and SLA compliance; Develop and maintain analytical data models; Automate data integration and transformation processes; Implement Data Quality, Governance, and Observability practices; Support data platform migration and modernization; Mentor junior and mid-level data engineers; Translate business requirements into scalable technical solutions
Seniority
Senior, hands-on IC with technical leadership
