Data Engineer- 793

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments.

We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data.

As a global leader in data security,

our mission

is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Requirements

3+ years of hands-on experience in the Analytics eco

System

Hands-on experience with AWS and Azure CloudHands-on experience with Kubernetes and Docker and respective container storage reposHands-on experience with Terraform, Ansible, and other DevOps toolsHands-on experience with Snowflake, Redshift, and/or other database enginesHands-on experience with Microsoft Fabric, PowerBI, Qlik, or other big toolsHands-on experience with Python, PySpark, SQL, DAX queriesHands-on experience with Git, Version Control and CI/CD practicesTeam player with a problem-solving attitudeExperience in delivering advanced analytical projects to large, complex organizations in a multi-functional environmentAble to challenge and review the quality and value generated from the analytical outputFocus on driving business value to support long-term relationshipsAbility to support team members, ensuring the culture and strategy gets followed by new hires



Benefits



Generous vacation and holiday time offOngoing learning development.