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Their duties include but are not limited to eliciting requirements, selecting and customizing analytical architectures to address customer needs, design and build data pipelines, building data strategies and coaching clients and internal teams in the latest architectures (Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes, etc.) and methodologies (DataOps, MLOps, etc.).\nRequirements\n15+ years of experience in data engineering.\nBachelor’s degree in Computer Science, Computer Engineering or other quantitative field. Post Graduate degrees preferable.\nThe ability to interact with stakeholders at multiple levels within a given organization, understand current analytical challenges and gathering requirements.\nA deep understanding of the evolution of analytical architectures from reporting databases to data warehouses, data lakes, data lakehouses, data fabrics, data meshes and beyond. 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