Google Data Engineer Jobs in Georgia , Employment

Are you an experienced Data Engineer looking to join a world-renowned tech giant? Google is looking for a Data Engineer to join their team and help them unlock the power of data. You'll be responsible for designing and developing data pipelines, creating data models, and optimizing data storage and retrieval. If you have a passion for data and a knack for problem-solving, this is the perfect opportunity for you!

Overview Google Data Engineers are responsible for designing, building, and maintaining data systems and pipelines to support data-driven products and services. They work with data scientists, product managers, and other stakeholders to ensure that data is collected, stored, and processed efficiently and accurately. Detailed Job Description Google Data Engineers are responsible for designing, building, and maintaining data systems and pipelines to support data-driven products and services. They work with data scientists, product managers, and other stakeholders to ensure that data is collected, stored, and processed efficiently and accurately. They are also responsible for developing and maintaining data models, ETL processes, and data warehouses. Google Data Engineers must have a strong understanding of data engineering principles and technologies, including SQL, NoSQL, Hadoop, and cloud computing. They must be able to design and implement data pipelines and ETL processes, and they must be able to troubleshoot and optimize data systems. They must also be able to work with stakeholders to ensure that data is collected, stored, and processed in a way that meets the needs of the organization. Skills Required

• Strong knowledge of data engineering principles and technologies, including SQL, NoSQL, Hadoop, and cloud computing

• Ability to design and implement data pipelines and ETL processes

• Ability to troubleshoot and optimize data systems

• Ability to work with stakeholders to ensure that data is collected, stored, and processed in a way that meets the needs of the organization

• Knowledge of data visualization tools and techniques

• Knowledge of data security and privacy best practices

• Knowledge of data warehousing and data modeling

• Knowledge of scripting languages such as Python and R

• Knowledge of machine learning and artificial intelligence

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field

• 5+ years of experience in data engineering

• Experience with data visualization tools and techniques

• Experience with data security and privacy best practices

• Experience with scripting languages such as Python and R

• Experience with machine learning and artificial intelligence

Knowledge

• Knowledge of data engineering principles and technologies, including SQL, NoSQL, Hadoop, and cloud computing

• Knowledge of data visualization tools and techniques

• Knowledge of data security and privacy best practices

• Knowledge of data warehousing and data modeling

• Knowledge of scripting languages such as Python and R

• Knowledge of machine learning and artificial