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Kyndryl

Data Engineer

Kyndryl

. Design and scale Retrieval-Augmented Generation (RAG) pipelines .

Posted 10/15/2026full-timeMexico City • MexicoMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudETLMongoDBNoSQLPostgres

About the role

Key responsibilities & impact
  • Design and scale Retrieval-Augmented Generation (RAG) pipelines
  • Transform unstructured IT logs and documentation into optimized Vector Embeddings
  • Maintain the health and performance of vector databases such as Pinecone, Milvus, or Weaviate
  • Build knowledge graphs and semantic layers
  • Create automated data guardrails to detect noise, bias, or PII before data reaches the model
  • Identify and resolve data quality issues at the source
  • Build, deploy, and maintain CI/CD pipelines for data infrastructure
  • Ensure data and context windows remain fresh and reliable

Requirements

What you’ll need
  • Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
  • Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
  • Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
  • Excellent problem-solving, analytical, and critical thinking skills
  • Ability to manage multiple projects simultaneously while maintaining attention to detail
  • Ability to communicate with technical and non-technical colleagues and translate technical requirements from business needs
  • Preferred: Experience working as a Data Engineer and/or in cloud modernization
  • Preferred: Experience in Data Modelling
  • Preferred: Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization
  • Preferred: Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
  • Preferred: Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio
  • Preferred: Degree in a scientific discipline such as Computer Science, Software Engineering, or Information Technology

Benefits

Comp & perks
  • Flexible, supportive environment
  • Hybrid-friendly culture
  • Be Well programs supporting financial, mental, physical, and social health
  • Personalized development goals and continuous feedback
  • Access to cutting-edge learning opportunities
  • Certifications with Microsoft, Google, and Amazon
  • Coaching and hands-on experiences
  • Career path tools and in-demand skills development
  • Employee referral opportunity