Senior Back End Engineer
- Város
- Wien
- Cégnév
- ConnectAd Demand GmbH
- Céginfo
- 16 állás a cégnél
- Cég címe
- Cég weboldal
- https://www.connectadrealtime.com
- Cég link
- https://devjobs.at/team/connectad-demand-gmbh
- Hirdetés aktiválása
- July 19, 2022, 9:12 a.m.
- Hirdetés utoljára aktív
- Sept. 7, 2022, 8:04 a.m.
- Link
- https://devjobs.at/job/48787827433085920

- Lead
- 7
Farkas Kiss Endre legjobb állása ConnectAd Demand GmbH
ConnectAd Demand GmbH email
support@connectad.io;connect@connectad.io+43
Email tárgya
Bewerbung fur Team Lead, Publishers Support (m/f/d)
Levél szövege
Lieber ConnectAd Demand GmbH!
Ich möchte mich bei Ihrem Unternehmen als Senior Back End 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
Data Engineering/Systems development using Spark, Kafka, and RabbitMQDesign and build scalable data pipelines that make use of cutting edge technologies to process billions of events per dayArchitect and build next-generation infrastructure to support robust and efficient pipelinesLead projects across large volumes of code, with multiple branches, formal integration procedures, and test cyclesContribute software engineering best practices and technical excellence through code reviews and mentorship of junior engineersDemonstrate end-to-end ownership of projects and initiatives
Qualifikationen
Expertise in one or more of the following areas: Google Cloud, Spark, Kafka, Data Warehouse technical architectures (Redshift, Snowflake), EMR
Erfahrung
Experience in data pipelines, analytics, or ELT/ELT processingExperience in designing and performing data manipulation on both SQL and NoSQL databasesExperience building and optimizing 'big data' real-time and batch data pipelines, architectures, and data setsExperience in architecting, driving technology adoption, and best practices of big data platforms