Vacancy expired!
Description:
The Google Cloud Platform DevOps Engineer is responsible for building and maintaining automated CI/CD pipelines using hosted cloud-based services in Google Cloud and AWS. This position is part of the Enterprise Information team and works with solution architects and management to ensure customer requirements are met in a timely and efficient manner. As we are a retail institution, security, data integrity, and system availability are essential. Job Duties Develop and implement data engineering solutions to support GME's data and analytics capabilities- Work with solution architects to implement cloud applications and services based on customer requirements.
- Act as an escalation for support administrators troubleshooting complex workflows.
- Maintain secure environments in accordance with established guidelines and practices maintaining the model of least privileged access.
- Develop batch, real-time data ingestion and stream-analytic solutions leveraging key technologies based on standardized architecture practices .
- Implement and maintain application and pipeline performance/health monitoring for cloud infrastructure-based solutions.
- Deep knowledge with google cloud S D K especially BQ a n d gsutil tools.
- Implement and maintain standards for configuration management of cloud infrastructure services
- Develop and maintain CI/CD solutions based on Gitlab, Maven etc . Implement and maintain container-based application services using AWS Kubernetes Service (AKS) or Google Kubernetes Engine (GKE)
- Implement and maintain container-based application services using AWS Kubernetes Service (AKS) or Google Kubernetes Engine (GKE).
- Seek opportunities to improve or optimize processes through automation via cloud centric tools, Terraform, and other automation scripting tools.
- Strong understanding and experience in Google Cloud Platform for real - time messaging using Pub/Sub, big data platform using: Google Big Query and Google Big Table, serverless real-time batch and stream processing using Google Cloud DataFlow (Apache Beam DataFlow) andRESTful online file storage Google Cloud Data Storage
- Experience in Maven , java sdk and having mockito test driver experience is a plus
- Proficiency in Airflow, DAG , Data flow , cloud pub/sub
- Google Cloud Platform certifications preferred
- L4/L5 problem solving skills, including good understanding of cloud solutions provided by Google and AWS.
- Experience with Object Oriented Programming using Python , Java and its design patterns.
- Proficiency with Terraform, Chef, Drone / Jenkins, Git, shell scripting, python or equivalent scripting language.
- Infrastructure as Code experience based on cloud automation using Terraform and cloud services such as AWS and Google Cloud Platform Devops .
- Simple understanding of database SQL. Ability to write queries and verify datasets.
- Strong communicator that is self-driven and willing to adapt quickly to the changing landscape of cloud
- An understanding of the Agile development method and its implementation .
- ID: #39337669
- State: Texas Grapevine 76051 Grapevine USA
- City: Grapevine
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2022-04-24
- Deadline: 2022-06-22
- Category: Architect/engineer/CAD