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.