SENIOR DATA ENGINEER / HYBRID, PRAGUE
PRAGUE, Polska
Key offer highlights
Data: SQL / BI / Python
DevOps / Cloud: AWS, Azure, Docker, Kubernetes
Hybrid model - partly remote
Looking for experts - senior/expert
Full-time
Description
hybrid
Requirements
Extensive knowledge and experience in statistical and data mining techniques (e.g.GLM/Regression, Random Forests, Improvement, Trees, text mining, social network analysis.
Extensive knowledge of Python, R, and SQL.
Experience with distributed data/computing tools, e.g.Map/Reduce, Hadoop, Hive, Spark.
Strong knowledge of agile working methods based on experience with SCRUM, and SAFe.
Good communication skills.
C1/C2 level of English
Willingness to travel to Prague once for 1-2 weeks
Nice to have:
Understanding of MongoDB and other NoSQL databases.
Experience with CICD pipelines. For example, Azure DevOps Pipelines, Gitlab, Jenkins, etc.
Experience working on projects Ability to analyze real-time functionality with all necessary interventions (in discussion).