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Data Engineer
3 months ago
We have an exciting opportunity for a Data Platform Engineer with the top leading multimedia and creative software company in the world.
Responsibilities:
Setup and maintain production scale Databricks environment on public cloud such as Microsoft Azure and AWS
Setup and maintain production scale data storage such as ADLS and S3 for multiple tenant teams using our Data Platform
Setup and maintain production scale micro services to support the daily operation of our data platform. Services include job scheduling, security, financial, and administrative services, etc.
Provide triage and guidance to the team on various support issues raised by our tenants
Develop tools and automation solutions for configuration management, service deployments, monitoring, and alerting to assist with daily RTB operations
Assure security and privacy compliance and implement Adobe Security & Compliance solutions to lock down data stored in our data lake
Explore GenAI technologies and find opportunity to integrate them with our data platform, providing technical enhancement or improve user experience in the end
Work with various 3rd party vendors for troubleshooting, proof of concept, and other collaborative projects to enhance our product.
Skills and Experience:
BS in Computer Science, Computer Engineering, or similar.
Cloud Infrastructure Administration and Automation:
AWS
Azure
Proficient with following storage technologies:
ADLS Gen2
S3
Minio
MongoDB
Vector Databases
Setup and operation of:
Databricks
Airflow
Azure Kubernetes Service or Elastic Kubernetes Service
Ability to setup monitoring and alerting with:
DBX System Tables
Prometheus
Splunk
ELK
Familiar with how to troubleshoot and maintain:
Servers with Linux system
Kubernetes environment
Knowledge to operate with:
Jira
Service Now.
Compensation:
$46.74 to $62.32 per hour.
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