Engenheiro de Dados - Híbrido

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Vaga ofertada por parceiro do Jobbol:
Senior Cloud Data Platform Engineer Location: RemoteIndustry: Cloud Computing | Data Engineering | AIAbout the OpportunityWe are looking for a Senior Cloud Data Platform Engineer to join a team dedicated to building scalable, high-performance data infrastructure.
This role will focus on expanding cloud data capabilities, leveraging automation, and implementing innovative solutions to enhance productivity and data management.In this position, you will work alongside Software Engineers, Product Managers, Data Scientists, and Data Engineers to design, build, and optimize data pipelines, cloud infrastructure, and security protocols.
You will be responsible for solving complex challenges related to high-traffic data processing, event streams, and messaging systems in a hybrid cloud environment.The RoleAs a Senior Cloud Data Platform Engineer, you will be a technical expert responsible for designing, optimizing, and scaling cloud-based data solutions.
You will work closely with cross-functional teams to deliver self-service, automated data components, supporting the organization s growing digital transformation initiatives.Key ResponsibilitiesDevelop and maintain scalable data pipeline architecture to support business needs.Automate manual processes and implement data governance rules for better efficiency.Ensure data security, network protection, and compliance in cloud environments.Expand data platform capabilities by integrating new tools and technologies.Provide technical solutions and support data infrastructure needs for various teams.Perform code reviews and promote DevOps best practices within the data engineering team.Monitor industry trends and proactively recommend enhancements to data systems.Explore AI integrations into data engineering processes for automation and optimization.What You Bring3+ years of experience in data engineering.Proficiency in SQL and Python.Experience with Cloud Platforms (GCP, AWS, or Azure).Strong knowledge of CI/CD pipelines, Terraform, and infrastructure automation.Familiarity with message broker systems (Kafka, PubSub).Experience with ML Model Training using Google Vertex AI.Data modeling expertise and understanding of data formats (JSON, XML, Parquet, Avro, etc.).Experience working with Airflow DAGs and Operators.Background in the financial industry is a plus.Knowledge of Google Cloud Data Platform (BigQuery, Dataflow, Cloud Composer, etc.) or equivalent open-source technologies.Why Join?Health & wellbeing resources and programsPaid vacation, personal, and sick days to support work-life balanceCompetitive compensation and benefitsCareer growth and development opportunitiesCollaborative, diverse, and inclusive team environmentOpportunities to contribute to community causesThis is a high-impact role where your expertise in cloud data engineering will shape the future of data-driven innovation.Ready to take on the challenge? Apply today