Full-Time Data Platform Engineer

Reporting to the Team Lead, you will be responsible for working on a team of four to five Engineers to tackle the platform needs of large organizations.

Every week, you'll have the opportunity to expand your technical skills and will be presented with opportunities for continuous learning.

Working in multiple environments and continually switching context from client to client, we are looking for people who thrive in an innovative and fast-paced environment.

This is a standout opportunity to collaborate with an elite group of engineers, build up your skillset and, in turn, become a distinguished expert in the industry.

Key Responsibilities

• Design and implement continuous integration and continuous deployment frameworks from code to deploy
• Manage and optimize data pipelines for performance, scalability, and reliability
• Develop, implement, and maintain scalable data pipelines and processes
• Create and manage automated provisioning and configuration systems for data infrastructure using infrastructure-as-code principles
• Design, implement, configure and manage system monitoring solutions that alert teams to problems before customers are impacted
• Support developers in code deployment and troubleshooting
• Work closely with customers and other team members to understand complex requirements and translate them into automated solutions
• Provide support to ensure mission critical applications and components are being monitored and meet security, reporting and retention requirements as well as disaster recovery requirements of clients
• Support team members

Skills, Knowledge & Expertise

Required Qualifications

• 3+ years of DevOps experience
• 2+ years of Azure experience
• Terraform experience
• Cloud certifications
• Excellent communication skills
• Strong multi-tasker
• Self starter
• Team player

Preferred Qualifications

• AWS/GCP experience
• Data platform experience
• Oracle/SQL server experience
• Java experience
• GCP experience
• Python experience
• Kubernetes experience
• Azure, AWS and GCP Professional level certifications
• Kubernetes certifications (CKA, CKAD, CKS)

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