Senior Data Engineer

Job Title: Cloud Data Engineer (Databricks)Location: Paris (Hybrid)Employment Type: 6-month Contract (Extendable)Job description:Our customer, a global leader in technology consulting, is seeking a skilled and experiencedData Engineer to join our dynamic team. The ideal candidate will have a strong backgroundin data engineering, with a minimum of 3 years of hands-on experience. You will beresponsible for implementing data pipelines and managing Databricks workspaces. Yourexpertise in Databricks, Spark, Spark SQL, Python, and PySpark will be crucial in ensuring thesuccess of our data initiatives.Key Responsibilities:Design, develop, and maintain data pipelines to support various data processing needs.Ensure data pipelines are efficient, scalable, and reliable.Manage and administer Databricks workspaces, ensuring optimal performance and security.Implement best practices for workspace management, including user roles, permissions, and resource allocation.Work closely with cross-functional teams to gather requirements and deliver data solutions that meet business needs.Document processes, workflows, and best practices for data engineering tasks.Key Requirements:Minimum of 3 years of professional experience as a Data Engineer.Proven track record of working with Databricks Data Intelligence Platform.Expertise in Spark and Spark SQL.Proficiency in Python and PySpark for data processing.Strong understanding of data architecture, ETL processes, and data warehousing.