Job Summary
Your role As an AI Data Engineer at Kyndryl, you ll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We arent just moving tables; we re building the real-time pipelines that allow agentic AI to reason over the world s most complex enterprise environments. Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next. What you will do
Key Responsibilities
- Design and develop scalable data pipelines using Azure services
- Build and maintain ETL/ELT workflows for structured and unstructured data
- Implement data integration solutions across multiple sources
- Ensure data quality, security, governance, and compliance
- Optimize data processing performance and cost efficiency
- Develop reusable frameworks, standards, and best practices
- Monitor and troubleshoot Azure-based data pipelines
- Collaborate with cross-functional teams
- Support analytics, reporting, and machine learning initiatives
- Implement CI/CD pipelines and maintain documentation
Required Qualifications
- 6-8+ years of experience in Data Engineering
- Minimum 3+ years of hands-on experience with Microsoft Azure data services
- Solid proficiency in SQL and Python
- Experience in building enterprise-scale ETL/ELT solutions
- Solid understanding of data modeling principles
Technical Skills
Azure Technologies
- Azure Data Factory (ADF), Azure Analytics, Azure SQL Database
- Azure Databricks, Azure Blob Storage, Azure Key Vault
- Azure Monitor, Microsoft Entra ID
Programming Tools
- Python, SQL, PySpark, with basic knowledge of Java (preferred)
Big Data Integration
- Apache Spark, Databricks
- REST APIs, Event Hubs, Azure Functions
Database
- SQL
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📌 Senior Data Engineer (Noida)
🏢 Kyndryl
📍 Noida