Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP).
- Architect and maintain vector database infrastructure for fast Retrieval-Augmented Generation (RAG) pipelines processing unstructured IT data into vector embeddings.
- Build automated data guardrails and CI/CD pipelines to ensure data quality, safety, and freshness for AI systems.
Minimum Requirements
- 6+ years of IT experience.
- Proficiency in data mining, ETL/ELT processes, and development of data pipelines using tools like Glue, Databricks, Synapse, or Dataproc.
- Experience with relational and NoSQL databases such as PostgreSQL, DB2, MongoDB.
- Work Experience Required: Minimum 6 years of relevant IT experience.
Ideal Candidate Profile
- Experienced in cloud-native data engineering with expertise in GCP services, DBT, Terraform, and CI/CD tooling.
- Capable of designing semantic data layers and knowledge graphs to support AI reasoning systems.
- Strong software engineering skills with demonstrated ability to build, deploy, and maintain scalable data infrastructure in production environments.