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Qualifications3+ years experience with data engineering in enterprise environmentsStrong proficiency in Python and SQL for data processing and transformationExperience with ETL / ELT tools and data integration patternsKnowledge of enterprise data standards and APIs (REST, GraphQL, SOAP)Understanding of data privacy, security, and access control best practicesExperience with cloud platforms (AWS, Azure, GCP) and data infrastructureFamiliarity with containerization and orchestration toolsBachelor's degree in Computer Science, Engineering, Data Science, or related fieldDay-to-Day ActivitiesDesign and build data pipelines that integrate diverse enterprise data sources for AI processingDevelop connectors and adapters for enterprise systems (CRM, ERP, document management, databases)Implement data quality frameworks and validation systems for AI model inputsCreate secure data handling workflows that support global development teamsBuild data transformation pipelines that prepare unstructured and structured data for AI modelsEstablish data governance and lineage tracking for compliance and audit requirementsOptimize data processing workflows for scale and performanceCollaborate with data scientists and AI engineers to ensure data meets model requirements#J-*****-Ljbffr
