As a Data Engineer - GCP, you will play a crucial role in designing, implementing, and optimizing our data infrastructure, working closely with cross-functional teams to drive impactful projects.
This is an exciting opportunity to leverage your expertise in GCP while contributing to a company that values technological advancement and societal improvement.
Tasks
- Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) to support business analytics and reporting needs.
- Collaborate with cross-functional teams to gather and analyze requirements for data integration and transformation processes.
- Implement data quality checks and validation routines to ensure the accuracy and reliability of data across all systems.
- Optimize and monitor data workflows for performance and efficiency, ensuring minimal downtime and maximum throughput.
- Stay updated with the latest GCP tools and technologies to continuously improve data infrastructure and processes.
Requirements
- Expertise in GCP, particularly data-related services such as BigQuery, Dataflow, and Dataproc
- Proficiency in SQL
- In-depth knowledge of one or more programming languages, preferably Python
- Expertise in database design and data modeling
- Expertise in DevOps, Terraform, CI/CD
- Experience with the Agile Way of Working
- Big bonus if familiar with Kafka, Azure Servicebus, Airflow, and DBT
- Cloud certification: GCP
Boost IT was founded in 2018 with a core belief, that technology can be used to elevate people and improve the world.