GCP Data Engineer

Key Responsibilities:

• Data Pipeline & Storage Design: Design, develop, and maintain data pipelines and data storage solutions using Google Cloud Platform (GCP).
• Collaboration: Work with cross-functional teams to identify data requirements and design scalable data architectures.
• Data Integration Solutions: Develop and implement data integration solutions leveraging GCP services to support data workflows.
• ETL Workflows: Develop and maintain ETL (Extract, Transform, Load) workflows using appropriate GCP tools.
• Data Security & Privacy: Develop and implement data security measures to protect sensitive data, ensuring privacy and compliance.
• Collaboration with Data Teams: Collaborate with data science and analytics teams to develop solutions that align with business requirements and technical specifications.
• Documentation: Write and maintain clear and comprehensive technical documentation for data systems and processes.