Intermediate Data Engineer - OP01793

🟢 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