technologies-expected :

responsibilities :

You will design and implement scalable, secure, and efficient data pipelines that can handle large amounts of data
You will build big data solutions using Azure services such as Azure Data Lake Storage, Azure Databricks, and more
You will develop and maintain Azure Data Factory workflows, data transformations, and visualizations
You will collaborate with data scientists, business analysts, and stakeholders to understand their data needs and translate them into technical requirements
You will implement and enforce data security and privacy policies, ensuring sensitive data is protected and compliant with regulations
You will evaluate new Azure data solutions and tools to continuously improve the data architecture and infrastructure
You will troubleshoot production issues and provide technical support to the data engineering team
You will mentor junior data engineers

requirements-expected :

You have a minimum of 5 years of experience in Data Engineering, preferably using Microsoft Azure Services including Data Factory and Databricks
You hold a bachelor’s or master’s degree, preferably in Computer Science or a similar field
You are experienced in designing, building, and maintaining scalable data pipelines and data warehousing systems such as data lakes and data marts
You have strong programming skills in Python, SQL, and NoSQL databases
You collaborate effectively with data scientists, business analysts, and stakeholders to translate business needs into technical solutions
You implement and enforce data security and privacy policies to protect sensitive data
You evaluate and recommend new data tools and technologies to improve architecture and infrastructure
You have strong communication, problem-solving, and collaboration skills, with fluency in English
You have experience in retail or luxury sectors

offered :

benefits :

responsibilities :