About this role
Data Engineering at Kyndryl. Location: Lima, Lima, Peru. Role: architecting pipelines, scaling infrastructure, automating data Requirements: Design and scale real-time data pipelines, build vector-search infrastructure and semantic layers, ensure data quality and CI/CD for AI systems; experience with ETL, relational and NoSQL databases, and cloud data tooling. Category: Data and Analytics Seniority: Senior Level Tools: Glue, Databricks, Synapse, Dataproc, PostgreSQL, DB2, MongoDB, Pinecone, Milvus, Weaviate, GitHub, Visual Studio Certifications: open technical specialist (data engineering), aws data analytics, google cloud professional data engineer, azure data engineer associate, elastic engineer Commitment: Full Time Workplace: Hybrid Languages: English