Data Engineering on Google Cloud

As Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability.

• Design and build data processing systems on Google Cloud Platform
• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
• Manage your data Pipelines with Data Fusion and Cloud Composer.