Das ist der Job
Tasks and Responsibilities Support creation, maintenance and evolution of an optimal data pipeline architecture.
Darum lohnt es sich
Meet data team requirements, assembling large and complex datasets with a wide variety of data source Work on data extraction, enrichment, transformation and integration through ETL/API.
Education Requirements Bachelor’s degree Required Hard Skills Proficient English language Experience in AWS environment Proficiency in SQL/NoSQL Experience in Python Proficiency Apache Spark Required Soft Skills Curiosity Challenges acceptor Strong communication skills Teamwork Problem-solving Time management #J-18808-Ljbffr Job Purpose Klar's Data Engineer will be responsible to optimize and re-designing our Digital Platform and to support a new generation of data-driven services and initiatives.
He/She will be responsible for expanding and optimizing our data pipeline architecture, supporting Data Engineers Data Scientists, Data Analysts and Software Engineers with optimal data delivery architectures and services. Support experiments, development and debugging of algorithms.
Build robust workflows for training, evaluation and deploying algorithms at scale.