Cloud Data Engineer

San Jose, CA, US • Posted 2 days ago • Updated 2 days ago

Contract Independent

Contract W2

No Travel Required

On-site

$65 - $70/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Ansible
Capacity Management
Cloud Computing
Docker
Kubernetes
Python
Apache Spark
Data Processing
Dynatrace
Testing
Amazon Web Services

Summary

Role: Data Engineer

Location: San Jose, CA - Onsite

Job Requirements

You will design and lead the team in important architectural decisions. The candidate will provide technical leadership for the team(s) they are associated with and participate in key decisions. They will engage with customers on escalations and ensure that there is continuous improvement in all areas. Participate in technical discussions within the team and with other groups within Business Units associated with specified projects.
You design, develop, and maintain our real-time data processing and data LakeHouse infrastructure.
You have experience with Python to write data pipelines and data processing layers.
You develop and maintain Ansible playbooks for infrastructure configuration and management.
You develop and maintain Kubernetes manifests, Helm charts, and other deployment artifacts.
You have hands-on experience on Docker and containerisation and how to manage/prune the images in private registries.
You have hands-on experience on access control in K8S cluster.
You have hands-on experience on SPARK and maintaining SPARK CLUSTER.
You monitor and troubleshoot issues related to Kubernetes clusters and containerized applications.
You drive initiatives to containerize standalone apps to be containerized in Kubernetes.
You develop and maintain infrastructure as code (IaC) and collaborate with other teams to ensure consistent infrastructure management across the organization.
You use observability tools to do “capacity management” of our services and infrastructure resources.
You are for guiding the development and testing activities of other engineers that involve several inter-dependencies.
Experience in AWS ECS and EKS is added advantage.
Experience in Dremio is added advantage.
Experience in Dynatrace or any tracing, infrastructure, or real time monitoring tools is added advantage.

Qualifications

8 to 10 years of relevant experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10375940
Position Id: 8904167
Posted 2 days ago

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