Master’s degree in Computer Engineering/Data Science/Data Engineering or equivalent.
Fluent in English.
Proven experience as a Data Engineer or in a similar role.
Strong knowledge of the following programming languages or similar: Python, SQL.
Strong knowledge of relational databases (e.g. MySQL).
Expertise in data pipeline and ETL processes and tools (e.g. Airflow, Databricks workflows).
Knowledge of Source Code Management systems (e.g. git)
Familiarity with Shell scripting
Ability to work collaboratively in a team environment and lead projects.
Strong communication skills to interact with technical and non-technical stakeholders.
Knowledge of Machine Learning theory is a plus (e.g. Supervised / Unsupervised learning)
Familiarity with Cloud computing services is a plus (e.g. AWS, Azure, Google)
Ability to work with Agile methodologies (Scrum, Kanban) is a plus
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