Data Engineer bei Palfinger | DEVjobs.at

Farkas Kiss Endre legjobb állása Palfinger

ebusiness@palfinger.com?subject=Website;ebusiness@palfinger.com;info@palfinger.com

Bewerbung fur Front End Developer

Levél szövege

Lieber Palfinger!

Ich möchte mich bei Ihrem Unternehmen als Data Engineer bei Palfinger | 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
Design, build and maintain data provisioning for data analytics processes
Develop and maintain data acquisition from various sources (Cloud Storage, Line-of-Business applications like ERP/CRM, Databases, internal and external APIs, …)
Collaborate with cross-functional teams to understand data needs and requirements
Definition / documentation of data structures / data models / data lifecycle management Implementation of Data Visualization, Reports, Dashboards
Deploy and maintain cloud-based data services to handle structured and unstructured data
Optimize data storage and retrieval processes for efficiency and cost-effectiveness
Monitor and troubleshoot data pipelines and infrastructure to ensure smooth operations; (in the sense of 2nd/3rd level support)
Execute data transformation tasks and create and maintain a data catalogue
Actively shape/contribute the corporate data strategy together with your colleagues
Manage the meta-data / data catalogs for data analytics
Develop and implement ML-Ops processes aligned with CRISP-DM
Ensure data understanding & validate the existing data quality
Help the organization make better use of its data assets

Technologien und Skills
JSON
Terraform
Python
Azure
PowerShell
C
Stream
Java
XML
Crisp
Apache Spark
Hadoop
Apache Hive

Unsere Erwartungen an dich:
Qualifikationen
Knowledge working with **big data technologies** like Hadoop, Spark, and Hive, as well as knowledge of distributed computing and parallel processing as an advantage
Knowledge of **infrastructure as code** (Azure Bicep, Terraform), data warehousing concepts (e.g. Azure Synapse) and agile process models (SCRUM) as an advantage
High level of **independence and good self-organization**
**Communication strength** , quality awareness, and team player mentality
**Fluent in English** and negotiation skills in international business environment

Erfahrung
**Good knowledge** and experience with **cloud services** (Storage, Databases, Data Factory, Data Lake) and programming languages (Python, Java or Powershell)
**Good knowledge** and experience with **data pipelines** to extract, transform, and load data from multiple sources
**Good Knowledge** and experience with **data-modeling** and -Design skills to create efficient and effective data structures (Parquet, XML, JSON etc.)

Ausbildung
Profound c **ompleted education in a technical field** (engineering, computer science, business informatics or comparable)

Benefits
Gesundheitsförderung
Flexible Arbeitszeiten
Fitness Angebote