Data Engineer Python - Data Platforms Lazio

Data Engineer Python - Data Platforms
Roma
Lazio, Lazio

Introduction Your role and responsibilities The successful candidate will be responsible for designing, developing, and maintaining scalable data processing systems, collaborating with cross-functional teams, and ensuring high-quality data.

Key responsibilities include:

Designing and developing data processing systems, including ETL processes and databases

Collaborating with data scientists, software engineers, and business stakeholders

Ensuring data quality and integrity through testing, validation, and documentation

Implementing data security measures and adhering to relevant policies and regulations

Monitoring system performance and conducting optimizations

Required technical and professional expertise Strong scripting skills in languages such as Python

Proven experience as a Data Engineer, preferably in a consulting or banking environment

Proficiency in data management tools and technologies such as SQL, NoSQL databases (e. g. , MongoDB, Cassandra) and Big Data frameworks (e. g. , Hadoop, Spark)

Design, develop, and maintain scalable data processing systems, including ETL processes, data pipelines, and databases to support AI models.

Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data needs and translate them into technical solutions.

Preferred technical and professional experience Experience with cloud platforms (AWS, Azure, Google Cloud)

Familiarity with AI/ML workflows and tools is preferred

Experience with ETL tools (e. g. , Apache NiFi, Talend)

Knowledge of data security measures and regulations, particularly in the banking sector

Experience with continuous monitoring and optimization of system performance

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