Senior GCP Cloud Data Engineer

The ideal candidate will have a strong background in designing, developing, and implementing large-scale data pipelines on Google Cloud Platform.

Roles and Responsibility

• Design and develop scalable and efficient data architectures on GCP.


• Collaborate with cross-functional teams to identify and prioritize project requirements.


• Develop and maintain large-scale data pipelines using GCP services such as BigQuery, Pub/Sub, and Cloud Storage.


• Ensure data quality and integrity by implementing robust testing and validation frameworks.


• Optimize data processing workflows for performance, scalability, and cost-effectiveness.


• Troubleshoot complex technical issues related to data engineering projects.

Job Requirements

• Strong experience with GCP services including BigQuery, Pub/Sub, Cloud Storage, and Dataflow.


• Proficiency in programming languages such as Python, Java, or C++.


• Experience with data modeling, data warehousing, and ETL processes.


• Excellent problem-solving skills and attention to detail.


• Ability to work collaboratively in a fast-paced environment.


• Strong understanding of cloud computing concepts and data security best practices.