Minimum
3 year(s) of experience is requiredRoles & Responsibilities: • Architecture, design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies • Mentoring of more junior team members and supporting their personal development • Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications • Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors Professional & Technical Skills: • Demonstrable end-to-end experience in Data Engineering, including large-scale projects • Experience in working with the latest Azure technologies, such as; Databricks, Synapse, Data Factory, Azure Data Lake Storage (Gen 2), Cosmos DB • Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark • Confident communicator who is able to explain technical terms to non-technical audiences and mentor junior colleagues • Leads small development teams: track work, manage assignments, manage capacity, etc. About you Characteristics that can spell success for this role • Analytical, curious, agile • Team player and good communicator • Problem-solver, patient, quality-driven • Self-motivating • Innovative mindset
15 years full time education
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