Amdaris - Senior Data Consultant Ukraine (Fluent Italian)
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Requirements
• Azure Data Platform • Azure Data Platform • Azure Databricks • Microsoft Fabric (Lakehouse, Warehouse, Data Engineering) • Azure Data Factory / Synapse Pipelines • Azure Data Lake Storage Gen2 • Azure SQL Database / SQL Managed Instance • Data Integration & Modeling • ELT / ETL patterns • Integration from heterogeneous sources (ERP, CRM, APIs) • Structured and semi-structured data management • Analytics & Business Intelligence • Power BI (semantic models, dataset optimization) • Row-Level Security (RLS) • Support for Self-Service BI scenarios • Security & Performance • Data security, encryption • Monitoring, cost control, and performance tuning • Structured problem-solving mindset • Strong communication with technical and business stakeholders • High level of autonomy and ownership • Ability to work in multidisciplinary teams • Results-oriented and customer-focused approach • Seniority & Typical Context • 6–10+ years of experience in Data & Analytics • Proven experience in complex enterprise projects • Consulting or System Integrator background • Microsoft Azure certifications preferred (Data certification: Databricks, Fabric DP 700 or generic Data Platform DP 600) • Data Governance • Data Governance • Data Governance frameworks (DAMA-DMBOK) • Data Catalog & Metadata Management (e.g., Microsoft Purview) • Data Quality, Lineage, Ownership models • Regulatory and compliance awareness (GDPR, EU AI Act – conceptual level) • Machine Learning & AI • Understanding of ML workflows on Azure • Azure Machine Learning (concepts and lifecycle) • Support for predictive and advanced analytics use cases • Generative AI • Knowledge of LLM concepts, Prompt Engineering, RAG patterns • Integration of Generative AI with Data Platforms • To see more roles, click here.
Responsibilities
• Analyze business requirements and translate them into Azure-based data architectures • Azure-based data architectures • Design and implement Modern Data Platforms (Lakehouse, Data Warehouse, Streaming) • Modern Data Platforms • Develop, optimize, and maintain reliable and high-performing data pipelines • Collaborate with BI, AI, and Application teams on integrated solutions • Support workshops, assessments, PoCs, and presales activities • workshops, assessments, PoCs, and presales activities • Mentor junior consultants and support team capability growth
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