Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 14–26 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and optimize scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP).
- Develop and maintain real-time vector embedding pipelines and ensure vector database performance for fast retrieval.
- Build automated data guardrails for data quality, privacy, and bias; deploy and maintain CI/CD pipelines for data infrastructure.
Minimum Requirements
- 6+ years of experience in IT with expertise in data mining, storage, and ETL processes.
- Experience with data pipeline tools such as Glue, Databricks, Synapse, or Dataproc.
- Proficiency with relational and NoSQL databases including PostgreSQL, DB2, and MongoDB.
- Work Experience Required: Minimum 6 years in IT; Bachelor's degree in Computer Science or related field highly preferred.
Ideal Candidate Profile
- Experienced in designing and scaling AI-focused data architectures, especially around vector databases and semantic layers.
- Strong software engineering skills for building and maintaining production-grade data pipelines with CI/CD and Infrastructure as Code (Terraform).
- Proficient in modern cloud data engineering tools and certifications, notably on GCP, and capable of bridging complex data sources for advanced AI applications.