Customer Engineer, Data Analytics, Financial Services, Google Cloud
By Google At Atlanta, GA, United States
Bachelor's degree or equivalent practical experience.
5 years of experience in virtualization or Google Cloud native architectures in a customer-facing or support role.
Experience with traditional Analytic Warehouse solutions, Big Data technologies, Real Time Streaming, performance, and scalability.
Experience in performing technical presentations or public speaking.
Experience in writing code in a common development language such as Java, Python, JavaScript, C++, Scala, R or Go.
Understanding of DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC, and working knowledge of Linux.

Are you looking for an exciting opportunity to work with the latest technologies and help shape the future of data engineering? We are looking for a talented Google Cloud Platform Data Engineer to join our team and help us build innovative solutions for our customers. You will have the chance to work with cutting-edge technologies, develop data pipelines, and create data models to help our customers make data-driven decisions. If you are passionate about data engineering and have experience with Google Cloud Platform, we want to hear from you!

What is Google Cloud Platform Data Engineer job Skills Required?

• Experience with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, Cloud Spanner, Cloud Functions, and Cloud IoT Core
• Knowledge of data engineering principles and best practices
• Proficiency in scripting languages such as Python, Bash, and SQL
• Experience with data modeling and ETL/ELT processes
• Knowledge of data security and privacy best practices
• Ability to work independently and collaboratively
• Excellent problem-solving and communication skills

What is Google Cloud Platform Data Engineer job Qualifications?

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering
• Experience with cloud-based data warehousing solutions
• Experience with data visualization tools such as Tableau
• Experience with DevOps tools such as Jenkins and Kubernetes
• Experience with version control systems such as Git

What is Google Cloud Platform Data Engineer job Knowledge?

• Knowledge of data warehousing and big data architectures
• Knowledge of distributed computing frameworks such as Hadoop and Spark
• Knowledge of data modeling