Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 16–26 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and scale real-time data pipelines for Retrieval-Augmented Generation (RAG) to process large unstructured IT data into vector embeddings.
- Maintain the performance and health of vector databases ensuring sub-second retrieval speeds essential for AI agentic reasoning.
- Build and deploy automated, CI/CD enabled data transformation pipelines and semantic layers to ensure data quality and context for AI models.
Minimum Requirements
- 6+ years of overall IT experience.
- Proven expertise in ETL processes, data pipeline development, and data storage using tools like Glue, Databricks, Synapse, or Dataproc.
- Experience with both relational and NoSQL databases including PostgreSQL, DB2, and MongoDB.
- Not explicitly mentioned: notice period, mandatory degree, or strict onsite requirements.
Ideal Candidate Profile
- Experienced in cloud-native data engineering, preferably with Google Cloud Platform and Terraform infrastructure as code.
- Skilled in data modeling and building semantic data layers for complex data use cases in AI contexts.
- Capable of managing multiple projects and bridging technical data challenges with AI application needs through strong software engineering and CI/CD practices.