Senior Data Engineer at Proxify

Job Description

What we are looking for:
+5 years of solid experience as a Data Engineer in top-notch environment.
+3 years of experience with Cloud Infrastructures (e.g. Azure or AWS), virtualisation and containerisation environments (e.g. VMware, Docker, Kubernetes).
Strong knowledge of software development processes including testing, continuous integration/delivery, automated deployment and verification/maintenance.
High-degree of ambition for self-improvement and self-initiative.
Ability to work with minimal supervision.
Intermediate-advanced English level.
You can communicate well with both technical and non-technical clients.
Nice-to-have:
Experience in data warehousing and data modeling.
Solid understanding of relational database systems.
Knowledge in working with Apache Spark.
Time zone: CET (+/- 3 hours).
Azure certifications in Cloud development and architecture would be a plus.
Responsibilities:

Competency in Implementing the best practices in AI/ML development to ensure the data pipelines and solutions are:

Effectively and efficiently tailored towards specific applications (automated processes on hybrid cloud/on-prem infrastructure).
Scalable and maintainable to address an extensive customer community.
Secure “on-prem” to protect the client’s IP.
Knowledgeably built with the infrastructure upon which the prediction models will run.