Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and optimize scalable data pipelines and cloud-native solutions on Google Cloud Platform (GCP), focusing on ETL/ELT frameworks and Infrastructure as Code with Terraform.
- Architect and maintain vector databases (e.g., Pinecone, Milvus, Weaviate) ensuring sub-second retrieval speeds for AI applications including Retrieval-Augmented Generation (RAG) pipelines.
- Build and deploy CI/CD pipelines for data infrastructure; automate data quality guardrails to prevent data issues such as noise, bias, or PII before AI modeling.
Minimum Requirements
- 6+ years of IT experience with expertise in data mining, storage, and ETL processes.
- Experience with data pipeline development tools such as AWS Glue, Databricks, Synapse, or Dataproc.
- Proficiency in both relational and NoSQL databases including PostgreSQL, DB2, MongoDB.
- Work Experience Required: Minimum 6 years in IT; Degree in Computer Science, Software Engineering, or Information Technology preferred.
Ideal Candidate Profile
- Strong background in cloud-based data engineering with hands-on experience on GCP and Terraform for Infrastructure as Code.
- Demonstrated ability to build advanced data architectures including semantic layers, knowledge graphs, and vector embeddings for AI systems.
- Experienced in developing automated CI/CD pipelines and enforcing automated data quality and security controls in complex enterprise environments.