Description

Position description

Designing and implementing software systems 
Creating systems for collecting data and for processing that data 
Using Extract Transform Load operations (the ETL process) 
Creating data architectures that meet the requirements of the business 
Researching new methods of obtaining valuable data and improving its quality 
Creating structured data solutions using various programming languages and tools 
Mining data from multiple areas to construct efficient business models 
Collaborating with data analysts, data scientists, and other teams. 
Candidate profile

Bachelor’s or master’s degree in information systems/engineering, computer science and management or related. 
5-8 years professional experience as Big Data Engineer 
Proficiency in modelling and maintaining Data Lakes with PySpark – preferred basis. 
Experience with Big Data technologies (e.g., Databricks) 
Ability to model and optimize workflows GCP. 
Experience with Streaming Analytics services (e.g., Kafka, Grafana) 
Analytical, innovative and solution-oriented mindset 
Teamwork, strong communication and interpersonal skills 
Rigor and organizational skills 
Fluency in English (spoken and written). 

Education

Bachelor's degree in Computer Science