Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and scale robust, real-time data pipelines and vector infrastructure for AI-driven systems on Google Cloud Platform (GCP).
- Build semantic layers and knowledge graphs to facilitate complex AI reasoning and automate data quality guardrails ensuring safe AI output.
- Develop, deploy, and maintain CI/CD pipelines and Infrastructure as Code (Terraform) for scalable, high-performance data infrastructure supporting autonomous AI processes.
Minimum Requirements
- 6+ years of IT experience with strong expertise in data mining, ETL/ELT processes, and data pipeline development.
- Proficiency with data engineering tools such as DBT, Terraform, CI/CD practices, and Google Cloud Platform services (BigQuery, Cloud Run, etc.).
- Experience with relational and NoSQL databases including PostgreSQL, DB2, MongoDB.
- Work Experience Required: 6+ years
Ideal Candidate Profile
- Experienced data engineer skilled in building scalable, cloud-native data infrastructure for AI applications, especially on GCP.
- Strong background in modern data architecture including semantic layers, knowledge graphs, and real-time vector embeddings for AI reasoning.
- Proven software engineering skills to manage production CI/CD pipelines and Infrastructure as Code in cloud environments.