Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and scale data pipelines for Retrieval-Augmented Generation (RAG), converting unstructured IT data into optimized vector embeddings.
- Manage vector databases (e.g., Pinecone, Milvus, Weaviate) to ensure sub-second retrieval speeds for AI reasoning.
- Build and maintain scalable ETL/ELT frameworks, automate data quality guardrails, and deploy CI/CD pipelines for data infrastructure on Google Cloud Platform.
Minimum Requirements
- 6+ years of IT experience.
- Expertise in data mining, data storage, and ETL processes.
- Experience with data pipeline tools such as Glue, Databricks, Synapse, or Dataproc.
- Familiarity with relational and NoSQL databases (PostgreSQL, DB2, MongoDB).
Ideal Candidate Profile
- Strong background in cloud data engineering with GCP and modern data architecture (DBT, BigQuery, Terraform, CI/CD).
- Experience in building semantic layers and knowledge graphs to support AI applications.
- Demonstrated ability to manage end-to-end data infrastructure and collaborate across technical and non-technical teams.