Start date: depending on the candidates availability
responsibilities :
Design, build, and maintain efficient data pipelines for data science and analytics
Automate processes to improve efficiency and data reliability
Conduct thorough testing to ensure robust and accurate data solutions
Optimize data structure for user experience and cost efficiency
Create and update technical and user documentation
Report on data quality and recommend cleansing improvements
Implement methodologies for data matching and transformation
requirements-expected :
Extensive experience in data and analytics team environments
Proficiency in relational, graph, and NoSQL databases
Technical expertise in Hadoop and associated technologies such as Python, Spark, HIVE, NoSQL, SQL, Dataiku, Talend, Linux, Java, Jenkins, Azure, S3, and others
Familiarity with big data platforms and large datasets
Strong communication skills for both technical and non-technical audiences
A collaborative mindset with ownership mentality
Fluency in English and at least basic knowledge of Polish
offered :
Unique opportunity to join an international team and lead innovation projects
Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible