Data Engineer

Job Description

Common JD for Data Engineer

Experience between 8-12 yrs in Data field and working networking companies
GCP Certified Architect or Data Engineer
Experience designing and building multi-tenant IaaS and PaaS cloud solutions with particular emphasis on Google Cloud
Experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.)
Experience in the following areas: Apache- Spark, Hive, Pig Jobs
Strong communication skills: experience presenting to clients and executive-level leadership.
Hands on experience with scripting languages: Python preferred, Shell
Knowledge of BigQuery, Dataflow, Composer, Dataproc
Experience designing and building multi-tenant IaaS and PaaS cloud solutions with particular emphasis on Google Cloud.
Experience with cloud engineering
Three or more years of experience using automation scripting languages: Python, Ansible, Bash.
Experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.).
Performance tuning experience.
Experience in the following areas: Apache- Spark, Hive, Pig Jobs.
Experience with containers and container orchestration.
Experience with the Kubernetes ecosystem.
Knowledge/experience of cloud networking, virtualization, storage, containers, and serverless.