Data Engineer

Farkas Kiss Endre legjobb állása Takeda Austria GmbH

AE.DACH@takeda.com;64-900office@takeda.atBitte;office@takeda.at;0info.at@takeda.com;info.at@takeda.com;AT-Reklamationen@takeda.com;medinfoEMEA@takeda.com;200AT-Reklamationen@takeda.com

Bewerbung fur Software Developer Front End

Levél szövege

Lieber Takeda Austria GmbH!

Ich möchte mich bei Ihrem Unternehmen als Data Engineer 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

Manage and contribute the development of existing and new IT Systems to design, to analyse and implement complex manufacturing data driven solutions, with an impact on the daily operation of our manufacturing processes and facilities.Enable data analytics (process trending, process modelling, real-time analytics, and predictive analytics) in a GxP environment from an IT perspective for all GMS sites and for our collaboration with contract manufacturing organizations (CMO's).Drive identification of technical issues, problem-solving and escalate issues appropriately.Ensures to develop according to prioritized requirements and the total solution delivered to the customer meets/exceeds expectations.Defines roles & responsibilities, detailed scope, timelines and ensures execution of smaller projects.Ensures Digital Products and Platforms are built efficiently, scalable and on state-of-the-art technology.Provides guidance to business partners and solve complex technical changes and implementations.Follow company and departmental policies, procedures and ensure documentation according to the Takeda Quality Management Systems (QMS), Software Development Life Cycle and Project Life Cycle standards.
Qualifikationen

In-Depth knowledge of SQL and Relational Databases,Understanding of Shop-Floor systems (MES, ERP, LIMS, Historian, etc.),Understanding of data integration and ETL platforms (Amazon Glue, Databricks, Informatica),Understanding of Agile/SCRUM methodologies,Professional proficiency in English (business fluent). Excellent oral and written communications skills, business acumen and excels in problem solving and analytical skills.Understanding of Data Science workflows, including Machine Learning and / or Deep Learning,Additional Languages: Python, R, Javascript,Basic technical and scientific background knowledge in pharmaceutical/biological environments.

Erfahrung

Experience with Cloud services,Experience with Business Intelligence and Tools (Qlik/PowerBI),Experience with AWS (S3, EC2, Redshift, EMR, Athena),Experience in Computer Systems Validation GAMP,

Ausbildung

Bachelor's Degree/HTL-graduation in Computer Science or in a Technical/Natural Science (with focus on IT) or equivalent,