Key Responsibilities:

• Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, or other relevant technologies
• Design and implement data warehouses and data marts on Google Cloud BigQuery
• Optimize data models for performance and cost-efficiency
• Develop and maintain data extraction, transformation, and loading (ETL) processes
• Write and optimize complex SQL queries for data analysis and reporting
• Collaborate with data scientists and analysts to deliver insights and visualizations
• Troubleshoot and resolve data-related issues
• Stay up-to-date on the latest Google Cloud BigQuery features and best practices

Qualifications and Skills:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Minimum of 3 years experience in data engineering, with a focus on Google Cloud BigQuery
• Google Cloud Professional Data Engineer certification is a plus
• Strong proficiency in SQL and data modeling
• Experience with data pipeline orchestration tools like Apache Airflow or Cloud Composer
• Experience with data visualization tools like Looker or Data Studio is a plus
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills