Position Overview

Valenta is seeking a highly capable Data Engineer who can independently work on contemporary 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.

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.

Key Responsibilities

⢠Build and maintain scalable ETL/ELT pipelines on Azure

⢠Develop Python-based automation and data engineering solutions

⢠Implement LLM-driven features (fuzzy matching, semantic similarity, prompt engineering)

⢠Integrate REST APIs and external systems

⢠Use AI-assisted development tools (Cursor, Claude Code) for rapid feature development

⢠Handle data transformation, validation, cleansing, and optimization





⢠Troubleshoot production issues and optimize pipelines

⢠Participate directly in client discussions and requirement gathering

⢠Independently manage assigned deliverables with minimal supervision

Required Technical Skills

Core Data Engineering

⢠Strong hands-on Python programming experience

⢠Strong SQL skills (query optimization, data modeling)

⢠Azure ecosystem experience: Azure Data Factory, Azure Functions, Azure SQL, ADLS Gen2, Azure Storage

⢠API integration experience (REST APIs, JSON handling, authentication)

⢠ETL/ELT pipeline architecture and design

⢠Git/version control

⢠Production support and debugging skills

AI & LLM Integration (Core Requirement)

⢠Experience with LLM APIs (OpenAI, Claude, or similar) â required

⢠Understanding of embeddings, vector similarity, or semantic matching â required

⢠Exposure to prompt engineering or fuzzy matching techniques â required

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📌 Senior Data Engineer (Bengaluru)
🏢 Valenta AI
📍 Bengaluru