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.
Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.
The Data Engineer is a critical position that will help Protegrity strengthen its data analytics and information reporting capabilities. This person will work closely with the overall business to drive continued advancements in the development and implementation of data analytics and broad company information reporting. The individual will solve complex problems with a focus on timely delivery and ownership of results. The role will require strong skills in the analytics ecosystem and creative problem-solving.
Responsibilities
Support the migration of existing data pipelines and analytics workloads into Microsoft Fabric.
Support, define and build the data, analytics, and BI stack.
Define, build and support the analytics and BI reports.
Manage the building of the data platform for analytics and BI.
Automate all aspects of the data, analytics, and BI stack with DevOps.
Work with all departments on collecting their requirements for analytics and BI and implementing them accordingly.
Clearly document and communicate the outcomes of initiatives and make sure that the results.
Can be clearly understood by business stakeholders.
Inspire and promote the adoption of advanced analytics across the entirety of our organization and provide expertise for the broader applied analytics team.
Support sprint/work design and planning.
Qualifications
3+ years of hands-on experience in the Analytics ecosystem including:
Hands-on experience with AWS and Azure Cloud.
Hands-on experience with Kubernetes and Docker and respective container storage repos.
Hands-on experience with Terraform, Ansible, and other DevOps tools.
Hands-on experience with Snowflake, Redshift, and/or other database engines.
Hands-on experience with Microsoft Fabric, PowerBI, Qlik, or other big tools.
Hands-on experience with Python, PySpark, SQL, DAX queries.
Hands-on experience with Git, Version Control and CI/CD practices.
Team player with a problem-solving attitude.
Experience in delivering advanced analytical projects to large, complex organizations in a multi-functional environment.
Able to challenge and review the quality and value generated from the analytical output.
Focus on driving business value to support long-term relationships.
Ability to support team members, ensuring the culture and strategy gets followed by new hires.
Education
BSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning.
Should you accept this position, you must consent to and pass a Background Investigation, which includes (subject to country law), extended education, and additional criminal and civil checks.
We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.
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