Senior Data Engineer, GCP

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Engage in remote work on a project for a company within the retail industry.

• Design, construct, and oversee data ingestion and transformation pipelines utilizing GCP services.

• Develop and maintain analytical frameworks in cloud-based Data Warehouses and Data Lakes.

• Coordinate and monitor data workflows to ensure reliability, performance, and traceability.

• Enhance queries, processes, and costs within the cloud data environment.

• Maintain data quality, consistency, and governance throughout the complete data lifecycle.

• Assist analysts, data scientists, and business teams in utilizing data platforms.

• Document solutions and engineering best practices implemented in the project.

• Act as a technical reference, providing support to less experienced professionals.

• Convert raw data into dependable, scalable datasets that cater to business and analytics teams.

⛳️ Requirements

• Bachelor’s degree in Information Technology, Engineering, Statistics, or a related field.

• A minimum of 5 years of experience in data engineering.

• At least 3 years of experience with GCP in production settings.

• Proficient knowledge of GCP data services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage.

• Advanced SQL capabilities for analytical queries and data transformation tasks.

• Experience with Python for the development of data pipelines.

• Familiarity with data modeling for Data Warehouses and Data Lakes.

• Experience orchestrating pipelines using Airflow or a comparable tool.

• Google Cloud certification, such as Professional Data Engineer, is a plus.

• Familiarity with Terraform or another infrastructure-as-code tool is advantageous.

• Experience with CI/CD practices applied to data pipelines is a plus.

• Background in data projects within the retail sector is beneficial.

• Experience in consulting environments serving multiple clients is a plus.

• Proficiency in GCP, particularly focusing on data services and BigQuery.

• Strong skills in SQL and Python.

🏝️ Benefits

• Continuous training and investment in professional development.

• Opportunity for remote work.

• This position is also accessible to individuals with disabilities.