Data Engineer bei AVL LIST | DEVjobs.at

Állás info
Város
Graz
Cégnév
AVL LIST
Céginfo
9 állás a cégnél
Cég címe
Graz Hans-List-Platz 1
Cég weboldal
https://www.avl.com
Cég link
https://devjobs.at/team/avl-list
Hirdetés aktiválása
March 7, 2023, 8:23 a.m.
Hirdetés utoljára aktív
May 9, 2023, 8:09 p.m.
Link
https://devjobs.at/job/5b99587422045bb096dfd022ae517124
Farkas Kiss Endre Data Engineer bei AVL LIST | DEVjobs.at bei  nudist vlogger
Pontszám
java
5
python
-10

Farkas Kiss Endre legjobb állása AVL LIST

AVL LIST email

press@avl.com;dsb@dsb.gv.at;lehrlingsausbildung@avl.com;legal@avl.com;info@avl.com;trainees@avl.com;marketing.pte@avl.com;career@avl.com;employerbranding@avl.com;security@avl.com;portalmanagement@avl.com

Email tárgya

Bewerbung fur IT Infrastructure Expert bei AVL LIST | DEVjobs.at

Levél szövege

Lieber AVL LIST!

Ich möchte mich bei Ihrem Unternehmen als Data Engineer bei AVL LIST | DEVjobs.at bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Deine Rolle im Team
Define analytics including the set up of analytics environment and support in defining data governance, including data lifecycle management
ETL process implementation (telemetry based and stationary test data)
Development of large scale data processing engines, real-time search and analytics based on time series data
Working together with data scientist on development of complex on-premise, hybrid and cloud solution architectures
Design, construct and maintain large-scale (time-series) data processing systems (aggregation, transformation, cleansing, enrichment)
Scale out of design algorithms via implementation in cloud-native applications
Ensure know-how development and transfer as well as continuous improvement in the field of data engineering

Technologien und Skills
Bash
Azure
Google Cloud Platform
Python
Kubernetes
AWS
C#
Dask
Java
Pyspark
cell
Linux
Ada
NumPy
C++
SQL
Pandas

Unsere Erwartungen an dich:
Qualifikationen
Python (mainly in the PyData stack (Pandas/Numpy and related packages).
High level programming languages (C#/C++/Java)
Scalable processing environments like Python Dask (or PySpark)
Linux and scripting languages (Bash Scripts)
Database technologies (SQL/OLAP and non-SQL)
Containerization and orchestration of containerized services (Kubernetes).
A working knowledge of vehicle architectures, communication and components
Fluent speaking and excellent writing skills in English
Willingness and ability to interface constructively with a global team
Readiness for business trips in course of development projects

Erfahrung
At least 3 years of professional experience and knowledge in the following areas:
Proven experience in the use of Cloud technologies (Azure, AWS, GCP) for industrial applications and in the setup of CI/CD data pipelines (including deployment and monitoring of ML-based models) in cloud environments

Ausbildung
Engineering degree (BSc, MSc, MEng or PhD) in computer science, computer science/telematics, mathematics/statistics or equivalent technical degree.

Benefits
Gesundheitsförderung
Essenszulage
Kantine/Betriebsrestaurant
Handy zur Privatnutzung
Betr. Altersvorsorge
Bildungskarenz/Auszeit
Fitness Angebote
Flexible Arbeitszeiten
Team Events
Mitarbeitervergünstigungen
Mitarbeiterparkplatz
Betriebsarzt
Notebook zur Privatnutzung
Kinderbetreuung
Gute Anbindung
Home Office
Extra Urlaubstage
Tiere willkommen