Senior Data Engineer

Position Overview
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Valenta is seeking a highly capable Data Engineer who can independently work on modern data engineering, AI\-driven automation, and client solutions. This is a hands\-on role requiring someone proactive, client\-facing, and comfortable working across cloud platforms, APIs, AI\/LLM integrations, automation frameworks, and scalable data pipelines.
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You'll support active client delivery initiatives involving Python development, Azure services, API integrations, LLM\-based fuzzy matching, automation (via Cursor, Claude Code, or similar AI\-assisted development tools), and orchestration of complex data workflows.
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Key Responsibilities
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<\/span><\/span><\/span>Build and maintain scalable ETL\/ELT pipelines on Azure
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<\/span><\/span><\/span>Develop Python\-based automation and data engineering solutions
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<\/span><\/span><\/span>Implement LLM\-driven features (fuzzy matching, semantic similarity, prompt engineering)
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<\/span><\/span><\/span>Integrate REST APIs and external systems
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<\/span><\/span><\/span>Use AI\-assisted development tools (Cursor, Claude Code) for rapid feature development
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<\/span><\/span><\/span>Handle data transformation, validation, cleansing, and optimization
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<\/span><\/span><\/span>Troubleshoot production issues and optimize pipelines
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<\/span><\/span><\/span>Participate directly in client discussions and requirement gathering
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<\/span><\/span><\/span>Independently manage assigned deliverables with minimal supervision
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Required Technical Skills
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Core Data Engineering
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<\/span><\/span><\/span>Strong hands\-on Python programming experience
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<\/span><\/span><\/span>Strong SQL skills (query optimization, data modeling)
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<\/span><\/span><\/span>Azure ecosystem experience: Azure Data Factory, Azure Functions, Azure SQL, ADLS Gen2, Azure Storage
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<\/span><\/span><\/span>API integration experience (REST APIs, JSON handling, authentication)
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<\/span><\/span><\/span>ETL\/ELT pipeline architecture and design
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<\/span><\/span><\/span>Git\/version control
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<\/span><\/span><\/span>Production support and debugging skills
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AI & LLM Integration (Core Requirement)
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<\/span><\/span><\/span>Experience with LLM APIs (OpenAI, Claude, or similar) - required
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<\/span><\/span><\/span>Understanding of embeddings, vector similarity, or semantic matching - required
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<\/span><\/span><\/span>Exposure to prompt engineering or fuzzy matching techniques - required
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<\/span><\/span><\/span>Experience with AI\-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or similar) - required
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<\/span><\/span><\/span>Understanding of automation workflows and integration patterns
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Communication & Ownership
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<\/span><\/span><\/span>Excellent spoken and written English
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<\/span><\/span><\/span>Comfortable speaking directly with clients and internal stakeholders
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<\/span><\/span><\/span>Strong ownership mindset
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<\/span><\/span><\/span>Ability to work independently and manage timelines under pressure
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Preferred Qualifications
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<\/span><\/span><\/span>4-8 years of relevant data engineering experience
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<\/span><\/span><\/span>Prior consulting or client\-facing experience
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<\/span><\/span><\/span>Hands\-on experience in analytics consulting or delivery
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<\/span><\/span><\/span>Production experience in regulated industries (finance, healthcare, etc.)
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<\/span><\/span><\/span>Exposure to Power BI, Tableau, or reporting ecosystems
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