About this role
The team is seeking a Senior GCP Data Engineer to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong foundations in cloud-native data engineering, be highly self-driven, accountable, and excel as a collaborative team player in Agile environments.
Key Responsibilities:
- Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP.
- Build and optimize data pipelines using Python.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Implement data quality checks and monitoring to ensure data integrity.
- Troubleshoot and resolve issues related to data pipelines and infrastructure.
Required Skills & Qualifications:
- Strong experience with Google Cloud Platform services such as BigQuery, Dataflow, and Pub/Sub.
- Proficiency in Python and experience with data processing frameworks.
- Understanding of data modeling and database design principles.
- Familiarity with Agile methodologies and DevOps practices.
- Excellent problem-solving skills and attention to detail.
Experience:
- 4-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work with cutting-edge technology in a dynamic environment.
- Collaborative and inclusive team culture.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.