We are seeking a skilled Data Engineer with 35 years of experience to join our team. He/she will be responsible for designing,
building, and optimizing data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. His/her work will ensure data reliability, scalability, and quality, supporting the organizations analytics and operational needs.
- Design, develop, and maintain robust and scalable data pipelines using GCP services, including BigQuery, Cloud Storage,
Dataform, Cloud Run Functions and Workflows.
- Implement and manage infrastructure as code using Terraform for automated provisioning and management of data
infrastructure.
- Optimize performance of data warehouses and pipelines through partitioning, clustering, and other best practices to ensure
efficient data processing and query performance.
- Monitor and maintain the health of the data infrastructure, proactively identifying and resolving issues to ensure high
data reliability and uptime.
- Troubleshoot and resolve data-related issues,
ensuring data quality and consistency across systems.
- Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver high
quality data solutions.
- Ensure data reliability, scalability, and quality through robust validation, testing, and monitoring processes.
- Manage version control and code collaboration using Git.
- Develop and maintain API integrations for data ingestion and delivery.
- Document technical solutions and maintain up-to-date records of data workflows and infrastructure.
1. Key qualifications
- 3–5 years of professional experience as a Data Engineer or in a similar data-focused role.
- Solid analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
1. Preferred skills
- Experience with CI/CD pipelines for data engineering workflows.
- Familiarity with data governance and obser