Senior Cloud Data Architect

Há 5 dias

Curitiba, Brasil Bebeedata Tempo inteiro

Job OverviewWe are seeking a skilled professional to fill the role of GCP Data Engineer.About the RoleThe ideal candidate will design and implement data architectures on GCP using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, among others.Main ResponsibilitiesDevelop and optimize scalable, high-performance ETL/ELT pipelines.Ensure data quality, integrity, and security end-to-end.Create and maintain data models aligned with business needs.Collaborate with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases.Automate ingestion, transformation, and data delivery processes.Monitor and optimize cost and performance of GCP resources.Implement best practices for DataOps and Data Governance.Required Skills and QualificationsProficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub.Experience with SQL, Oracle Database, and PostgreSQL.Knowledge of orchestration using Cloud Composer (Airflow).Hands-on experience with CI/CD applied to data pipelines (Git, Terraform).Experience with cloud cost and performance optimization.GCP certifications.Knowledge of Kubernetes (GKE) and APIs on GCP.Experience with Machine Learning pipelines (Vertex AI, AI Platform).Previous involvement with Data Mesh and distributed architectures.Understanding of Data Lake layers.Knowledge of batch and streaming processing.Experience with data modeling (relational, dimensional, and NoSQL).BenefitsThe successful candidate will have the opportunity to work on cutting-edge data engineering projects, collaborate with a talented team, and develop their skills in a dynamic environment.

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