Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted 15h 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 high-performance data infrastructure for autonomous AI systems, including vector databases and real-time pipelines.
- Build automated data guardrails and CI/CD pipelines to ensure data quality, safety, and continuous delivery of data products.
Minimum Requirements
- 6+ years of IT experience with expertise in data mining, data storage, and ETL processes.
- Experience with data pipelines development tools such as Glue, Databricks, Synapse, or Dataproc.
- Proficiency with relational and NoSQL databases including PostgreSQL, DB2, and MongoDB.
- Work Experience Required: 6+ years of IT experience explicitly mentioned.
Ideal Candidate Profile
- Strong background in cloud modernization and data engineering with practical experience in data modeling and semantic layers.
- Hands-on experience with GCP services, DBT, Terraform, CI/CD, and modern data architecture technologies.
- Experienced in building scalable vector database infrastructure and automated data quality frameworks for AI applications.