Position Overview

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.

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) — required

• Understanding of embeddings, vector similarity, or semantic matching — required

• Exposure to prompt engineering or fuzzy matching techniques — required

• Experience with AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or similar) — required

• Understanding of automation workflows and integration patterns

Communication & Ownership

• Excellent spoken and written English

• Comfortable speaking directly with clients and internal stakeholders

• Robust ownership mindset

• Ability to work independently and manage timelines under pressure

Preferred Qualifications

• 4–8 years of relevant data engineering experience

• Prior consulting or client-facing experience

• Hands-on experience in analytics consulting or delivery

• Production experience in regulated industries (finance, healthcare, etc.)

• Exposure to Power BI, Tableau, or reporting ecosystems

Requirements

What Success Looks Like

In this role, you'll be able to:

• Independently build, debug, and troubleshoot data pipelines in production

• Quickly understand client requirements and translate them into technical solutions

• Implement LLM-driven features (fuzzy matching, semantic similarity) with minimal guidance

• Leverage AI-assisted development tools to deliver features faster

• Communicate confidently with clients and internal stakeholders

• Deliver in fast-paced, high-priority client environments

Important Notes

• Immediate availability or short notice period preferred

• This is an urgent hiring requirement

• Strong communication and practical problem-solving are mandatory

• LLM and AI-assisted development experience is non-negotiable

📌 Senior Data Engineer (Bengaluru)
🏢 Recognized
📍 Bengaluru