Data Engineer – GCP (Google Cloud Platform)

About the role

We are seeking a skilled Data Engineer to join our team and tackle business and technological challenges through robust data pipelines on Google Cloud Platform. The role is fully remote and involves close collaboration with Data Architects, Project Managers, and peers to deliver reliable, well‑designed solutions.

Key responsibilities

• Understand user problems, translate them into technical requirements, and ensure alignment with the architecture defined by the Data Architect.
• Develop, test, and maintain data pipelines according to the prescribed architecture, applying best practices and using Terraform for infrastructure provisioning.
• Define and execute functional and technical tests, document results, and communicate findings to stakeholders.
• Present completed work during Deployment Reviews, monitor post‑deployment performance, and follow logging and monitoring procedures.

Required profile

• Ability to grasp business challenges and propose data‑driven solutions.
• Strong communication skills for interaction with Data Architects, Project Managers, and development peers.

Required skills

• Google Cloud Platform (minimum 1 year experience)
• Azure (general knowledge, a plus)
• Apache Airflow (minimum 2 years; Google Composer a plus)
• Google BigQuery (minimum 2 years, query optimization and schema design)
• Terraform (minimum 1 year)
• Apache Spark / PySpark (optional but valued)
• Pub/Sub
• Kafka
• Google Cloud Storage
• Dataflow or Apache Beam