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Intermediate Data Engineer - OP01793 at Dev.Pro. Location Information: São Paulo, State of São Paulo, Brazil - Remote. . 🟢 Are you in Brazil, Argentina or Colombia? Join us as we actively recruit in these locations, offering a comfortable remote environment. Submit your CV in English, and we'll get back to you!. We invite a Intermediate Data Engineer to contribute to a large-scale data modernization effort for a major enterprise client. You’ll help migrate and transform complex legacy data . pipelines. to a modern custom-built cloud environment for improved scalability, maintainability, and compliance. You’ll work closely with architects, DevOps, QA, and product stakeholders to deliver scalable, reliable data solutions that meet unique business needs.. 🟩 . What's in it for you:. . Join a fully integrated delivery team built on collaboration, transparency, and mutual respect. . Contribute to high-impact data platform transformation and gain experience with Google Landing Zones. . Work hands-on with modern, in-demand technologies like GCP, Snowflake, Apache Iceberg, dbt, Airflow, Dataflow, and BigQuery. . ✅. Is that you?. . 3+ years in data engineering and data warehouse modeling. . Strong proficiency in designing and building . ETL. for large data volumes and streaming solutions. . Expert-level SQL skills and experience in Snowflake and Apache Iceberg tables. . Hands-on experience with GCP services (BigQuery, GCS, Airflow, Dataflow, Dataproc, Pub/Sub). . Proficiency in Python for ETL scripting and DAG development. . Experience using dbt for data transformation and orchestration. . Familiarity with CI/CD processes and tools (Git, Terraform, Serverless). . Degree in Computer Science, Data Engineering, Information Systems, or related fields. . Strong communication and collaboration abilities. . Upper-Intermediate+ English level. . Desirable:. . Experience building and managing streaming data pipelines and event-driven architectures. . Experience writing Bash scripts. . Experience with Java for Dataflow jobs . . Familiarity with data lakehouse architectures using Iceberg tables. . Proficiency with Docker for containerizing data pipelines and supporting orchestration. . Familiarity with AI-assisted tools like GitHub Copilot. . 🧩. Key responsibilities and your contribution. In this role, you'll be actively involved in key data engineering activities, helping ensure the project’s success and timely delivery.. . Review and analyze existing ETL solutions for migration to the new architecture. . Design, optimize, and migrate batch and streaming data pipelines to the GCP Landing Zone. . Build and manage data transformations with dbt, supporting ELT pipelines in Snowflake. . Ensure the new data infrastructure meets performance and quality SLAs/SLOs . . Implement monitoring and alerting for pipelines to ensure system fault tolerance. . Develop migration scripts to transfer historical data to Iceberg tables. . Collaborate closely with the team and other stakeholders to align on data requirements and solutions. . Participate in code reviews, design discussions, and technical planning. . . 🎾 . What's working at Dev.Pro like? . Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background. 🌐 We are 99.9% remote — you can work from anywhere in the world. 🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time. ✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child. ⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months. 💵 We pay in U.S. dollars and cover all approved overtime. 📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events. Our next steps:. ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer. Interested? Find out more:. 📋How we work. 💻 LinkedIn Page. 📈 Our website . 💻IG Page . .