The Data Engineer role at Google focuses on designing and implementing secure, scalable, and reliable data solutions. This position is part of the Google Cloud team, which aims to help organizations digitally transform their businesses. The role involves collaborating with product management, engineering, and data science teams to drive technical excellence. Additionally, the engineer will advise customers on optimizing their database systems on Google Cloud Platform.

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
• 1 year of experience in database performance tuning, including SQL query optimization.
• Experience in database management using tools for backup, recovery, and partitioning.
• Experience in large-scale data migration from on-premise or data center environments to cloud.
• Proficiency in developing ETL or ELT workflows, data pipeline design, and dimensional data modeling.
• Software development experience in Java, C++, Python, Go, or JavaScript.

• Design and implement secure, scalable, and reliable data solutions, including data models, pipelines, and infrastructure frameworks.
• Perform exploratory data analysis and leverage machine learning models to enable data-driven insights and business solutions.
• Create and deliver technical enablement materials, including best practice guides, sample code, presentations, and educational workshops.
• Collaborate with product management, engineering, and data science teams to influence product development and drive technical excellence.
• Advise customers on migrating and optimizing database systems and data processing workloads on Google Cloud Platform.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.