Data Engineer
Coop
(Konsumgüter und Handel, >10.000 Mitarbeiter)
Schlagwörter
Skills
Data Engineering
Stream Processing, ELT, Google BigQuery, Postgres, Apache Airflow, Apache Beam, Databricks, dbt, Google Pub/Sub,
DevOps Engineering
Docker, Kubernetes, Linux, Terraform, GitOps, Jenkins, Maven, Google Cloud Operations, git, Google Cloud Networking, Nginx
ML Engineering
Computer Vision, Image Processing, Deep Learning, PyTorch, SciKit-Learn, Pandas, Google Cloud Vertex AI
Programming Languages
Python (7 years), SQL (4 Years), Java (4 years), Bash Scripting (4 years), C++
Other
Jira, Confluence, VS Code, Intellij, Spring Boot
Stream Processing, ELT, Google BigQuery, Postgres, Apache Airflow, Apache Beam, Databricks, dbt, Google Pub/Sub,
DevOps Engineering
Docker, Kubernetes, Linux, Terraform, GitOps, Jenkins, Maven, Google Cloud Operations, git, Google Cloud Networking, Nginx
ML Engineering
Computer Vision, Image Processing, Deep Learning, PyTorch, SciKit-Learn, Pandas, Google Cloud Vertex AI
Programming Languages
Python (7 years), SQL (4 Years), Java (4 years), Bash Scripting (4 years), C++
Other
Jira, Confluence, VS Code, Intellij, Spring Boot
Projekthistorie
09/2019
-
bis jetzt
10/2019
-
06/2020
Cloud Engineer
Primeo Energie
BigQuery including visualization with DataStudio
Data Ingestion via an AppEngine REST API
application.
Integration of the Google Cloud Platform into the
existing on-premise architecture. Transfer of
On-Premise Spring-Boot Services to GKE.
Automated infrastructure deployment with
Terraform.
Data Ingestion via an AppEngine REST API
application.
Integration of the Google Cloud Platform into the
existing on-premise architecture. Transfer of
On-Premise Spring-Boot Services to GKE.
Automated infrastructure deployment with
Terraform.
06/2018
-
12/2018
ML Engineer
BMT Consulting AG
real-time processing speed.
Design and implementation of a visual catalog
article recognition system (Reverse Image Search
method). Model deployment on the Google Cloud
Platform with REST API connectivity. Design of a
method for semi-automatic labeling of new training
data.
Development and deployment of a visual object
recognition algorithm with TensorFlow.
Design and implementation of a visual catalog
article recognition system (Reverse Image Search
method). Model deployment on the Google Cloud
Platform with REST API connectivity. Design of a
method for semi-automatic labeling of new training
data.
Development and deployment of a visual object
recognition algorithm with TensorFlow.
06/2017
-
06/2018
Assistant Department of Multimedia Signal Processing
University of Konstanz
Konstanz, Scientific analysis of sensor data with C++ / Qt at the
Assistant Department of Multimedia Signal Processing.
Assistant Department of Multimedia Signal Processing.
Zertifikate
Reisebereitschaft
Verfügbar in den Ländern
Deutschland, Österreich und Schweiz
