Data (Ingest) Engineer otto.de | Java | Spark| Flink | Kafka | Team SEARCH (f/m/d)
Direkt auf dem OTTO-Campus in Hamburg die Zukunft des E-Commerce vorantreiben und den E-Commerce-Spirit von OTTO und die Innovationskraft unseres Konzerns erleben.
Die Zusammenarbeit aller Teams macht otto.de täglich erfolgreich und steuert in den Otto Group Funktionsbereichen 123 nationale und internationale Einzelgesellschaften.
Das klingt spannend? Dann starten wir gemeinsam durch.
On our Hamburg-based OTTO campus, you will drive the future of e-commerce. Take advantage of OTTO's e-commerce spirit and the innovation power of the global acting Otto Group. Discover the teams that make otto.de the largest online retailer in Germany.
We are team SEARCH and ensure that our 8 million customers get the best search results. To achieve this, we use diverse ranking models to find the best products in the search of our customers. To find these products among millions of products is a great challenge for which we need your expertise!
As a part of the Ingest team you will move the current data ingest pipeline to a new level which will handle realtime events in just a few seconds. The data will be used for the search on otto.de and the other components in the search architecture.
Be creative in solving problems in information retrieval in the domaine of e-commerce.
Become part of our crossfunctional team - we work with agile methodogolies: kanban, pair programming and test-driven Development.
Do you have Questions? - We will give you the possibility to contact Hendrik Wimmer of team SEARCH. Would you like to meet your future team and experience your workspace live? You will get the chance within our application process at a later stage within our process.
Was Du mitbringen solltest:
Design and develop data ingestion/ETL pipelines based on Java in AWS and ensure their smooth operation to provide high-quality data.
Experience in building realtime processing Ingest/ETL pipelines with technologies like Kafka, Flink, Spark AWS-technologies (SQS, Lambdas) or compareable Technologies.
Know where the problems are in an ETL-Pipeline and how to get rid of them to have a reliable and scaleable system in production.
Love for crunching data in a high throughput environment.
Strong Java Knowledge.
Familiar with a CI/CD and the AWS-Stack.
Willing to contribute to the open source community.
Desire to work in pair programming.
Solid english skills.
Customer-centric prioritization and data-driven decision-making.
MVP mindset, continuous improvements of products and interal processes.
Interested in new developments by attending meetups and conferences.