Key skills
AWSBigQueryETLGoogle Cloud PlatformMongoDBPostgresELTGCPGoogle CloudLambdaKinesisPub/SubPostgreSQLJiraAgileCommunication
About this role
Role Overview
- Design, implement, and optimize data pipelines, ensuring high performance, scalability, and governance.
- Perform data design and modeling in a GCP environment.
- Develop and maintain data pipelines (ETL/ELT).
- Provision and manage cloud infrastructure.
- Work on performance and cost optimization of data solutions.
- Ensure data security and governance.
- Monitor environments and provide support for implemented solutions.
- Document processes, architectures, and data flows.
- Communicate effectively with the technical team, stakeholders, and other areas.
- Ensure alignment between architecture, development, and delivery quality.
- Work with agile methodologies, participating in ceremonies and using tools such as Jira.
Requirements
- Minimum of 4 years' experience as a Data Engineer with GCP and AWS.
- Knowledge of AWS Kinesis Data Streams.
- Knowledge of GCP Pub/Sub.
- Experience with MongoDB.
- Experience with PostgreSQL.
- Experience with BigQuery.
- Knowledge of Lambda Architecture (a plus).
- Senior/Specialist level professional.
- Strong analytical and problem-solving skills.
- Good communication and teamwork skills.
- Proactivity and an ownership mindset.
- Focus on quality, performance, and scalability.
Tech Stack
- AWS
- BigQuery
- ETL
- Google Cloud Platform
- MongoDB
- Postgres
Benefits
- Medical insurance (Porto Seguro)
- Dental insurance (Porto Seguro)
- Profit Sharing Program (PLR)
- Childcare allowance
- Meal and food vouchers (Alelo)
- Home office allowance
- Partnerships with educational institutions
- Support for certifications, including cloud certifications
- Livelo points
- TotalPass
- Mindself