Staff Data Engineer-GCP/Data Solutions

📋 Description

• Design and implement data patterns supporting analytics datasets, including data cleansing
• Build, maintain, streamline, and orchestrate complex end-to-end data pipelines across large-scale
• Design and develop scalable data warehousing, integration, and streaming solutions using BigQuery
• Develop large-scale batch and real-time pipelines using CDC frameworks and structured streaming.
• Implement real-time streaming solutions using Pub/Sub or comparable streaming/data lake
• Build and support complex data pipelines and APIs, integrating upstream data sources.

🎯 Requirements

• At least 8 years of professional experience in data engineering or related field
• Bachelor's degree in relevant discipline or equivalent experience
• Experience with large-scale cloud infrastructure, large datasets, and mission-critical SLAs
• Advanced proficiency in SQL and Python
• Data engineering certification from a recognized cloud provider
• Experience with GCP and/or AWS for complex data solutions

🎁 Benefits

• Staff-level role with broad technical ownership and influence
• Exposure to large-scale cloud, modern data architectures, streaming, analytics, ML, AI technologies
• Collaborative environment across Product, Data Science, Application, Analytics, Engineering
• Mentoring opportunities and contribution to technical standards and architecture
• Flexible work environment (remote/office)
• Work on complex, high-impact data solutions for mission-critical operations