Senior Data Engineer, GCP

• Work remotely on a project for a company in the retail sector.
• Design, build, and maintain data ingestion and transformation pipelines using GCP services.
• Model and maintain analytical structures in cloud-based Data Warehouses and Data Lakes.
• Orchestrate and monitor data workflows, ensuring reliability, performance, and traceability.
• Optimize queries, processes, and costs in the cloud data environment.
• Ensure data quality, consistency, and governance throughout the entire data lifecycle.
• Support analysts, data scientists, and business teams in consuming data platforms.
• Document solutions and engineering best practices adopted in the project.
• Serve as a technical reference, supporting less experienced professionals.
• Transform raw data into reliable, scalable datasets that support business and analytics teams.

• Bachelor’s degree in Information Technology, Engineering, Statistics, or a related field.
• At least 5 years of experience in data engineering.
• At least 3 years of experience working with GCP in production environments.
• Strong knowledge of GCP data services, such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage.
• Advanced SQL skills for analytical queries and data transformation.
• Experience with Python for developing data pipelines.
• Experience with data modeling for Data Warehouses and Data Lakes.
• Experience orchestrating pipelines using Airflow or a similar tool.
• Google Cloud certification, such as Professional Data Engineer (a plus).
• Experience with Terraform or another infrastructure-as-code tool (a plus).
• Experience with CI/CD applied to data pipelines (a plus).
• Experience working on data projects in the retail sector (a plus).
• Experience in consulting environments serving multiple clients (a plus).
• GCP, with a focus on data services and BigQuery.
• SQL and Python.

• Ongoing training and investment in professional development.
• Remote work.
• This position is also open to people with disabilities.