Data Engineer
Kyndryl (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 16–28 LPA
Posted 12h 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 databases for sub-second retrieval in AI-driven autonomous systems, focusing on managing large volumes of unstructured data and vector embeddings.
- Build and deploy automated, high-quality ETL/ELT frameworks and CI/CD pipelines ensuring data quality, addressing noise, bias, and PII before AI consumption.
Minimum Requirements
- Minimum 6+ years of overall IT experience.
- Proven expertise in data mining, data storage, ETL/ELT development, and tooling with platforms such as Glue, Databricks, Synapse, or Dataproc.
- Experience with relational and NoSQL databases including PostgreSQL, DB2, and MongoDB.
- Work Experience Required: Minimum 6+ years in IT, Technical Experience Required in data engineering and cloud platforms (GCP).
Ideal Candidate Profile
- Strong background with Google Cloud Platform services, DBT, Terraform, CI/CD pipelines, and modern data architecture.
- Experience in building and scaling vector databases (e.g., Pinecone, Milvus, Weaviate) and developing semantic layers or knowledge graphs for AI contexts.
- Demonstrated ability in managing complex data pipeline challenges from raw data handling to AI model-ready data, with software engineering practices in data infrastructure.