Google Cloud Data Engineer

Spinwise is seeking an experienced Google Cloud Data Engineer to design and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Dataform, Pub/Sub, Datastream, and Apache Airflow. A strong background in data warehousing, data modeling, and ETL/ELT processes is required

• Design, develop, and maintain scalable data pipelines using GCP tools (BigQuery, Dataform, Pub/Sub, Datastream, Cloud Storage)
• Build efficient ETL processes for data ingestion from databases, APIs,
 and streaming platforms using Airflow and Dataform
• Implement data quality checks to ensure accuracy and consistency
• Optimize pipelines and queries for performance and cost
• Ensure compliance with data governance and security policies
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements
• Thoroughly document data pipelines and processes
• Utilize open-source databases like MySQL and PostgreSQL for Change Data Capture

• Strong understanding of Google Cloud Platform services, 
particularly BigQuery, Dataform, Pub/Sub, and Datastream
• Advanced SQL skills, including complex queries, stored procedures, and functions in BigQuery
• Hands-on experience with Dataform for developing, testing, and deploying data pipelines
• Solid knowledge of data warehousing principles and data modeling
• Proven experience in developing and maintaining ETL/ELT processes
• Proficiency in one or more programming languages, preferably Python
• Experience implementing data quality checks
• Excellent written and verbal communication skills
• Strong analytical and problem-solving abilities