Sr. Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8pl78t

The Role

Hyntelosrlisseekinga full-time, highly skilledSeniorDataEngineerwho is passionate about dataanalysisand data-driven solutionsto join our team in Pisa.The roleentailsthe design, development, andmaintenanceof structured data analysis pipelines,working closely with stakeholders to understand their data needs and provide solutionswith theobjectiveof enhancingdata value.This involves collaboratingbetweenvariousteamsand ensuring data integrity andsecurity.Additionally, an essential aspect of the role islaying insupporting and mentoring junior data engineers.
Key responsibilities include supporting and mentoring junior data engineers, collaborating between different teams, ensuring data integrity and security, and working closely with stakeholders to understand their data needs and provide solutions.

Responsibilities

Requirements

- Master's degree in Computer Engineering/Data Science/Data Engineeringor equivalent.
- Fluent inEnglish.
- Proven experience as a Data Engineer or in a similar role.
- Strong knowledge of the following programming languagesor similar: Python, SQL.
- Strong knowledgeofrelationaldatabases(e.g.MySQL).
- Expertisein data pipeline and ETL processesand tools (e.g.Airflow,Databricks workflows).
- Knowledge of Source Code Management systems (e.g.git)
- Familiarity withShell scripting
- Excellent organizational skills and attention todetail.
- Ability to work collaboratively in a team environment and lead projects.
- Strong communicationskills 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

Qualification

- Previousexperiencein team managementwill be considered a plus.

- Previousexperience with SCRUM teams is a plus.

Job Type and Salary

Full-time preferred.

Benefits

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8pl78t