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).
Bachelor's degree in Computer Science