Kyndryl ir IT infrastruktūras pakalpojumu uzņēmums, kas palīdz lielām organizācijām izstrādāt, pārvaldīt un modernizēt sarežģītas tehnoloģiju vides. Tā darbība ietver konsultācijas, mākoņpakalpojumus, kiberdrošību, datus un mākslīgo intelektu, kā arī digitālās darba vides pārveidi. Kyndryl atbalsta organizācijas, tostarp autobūves, veselības aprūpes, banku un loģistikas nozarēs, apvienojot infrastruktūras zināšanas ar tehnoloģiju partnerībām, lai pārvaldītu kritiski svarīgas sistēmas, mazinātu darbības sarežģītību un palīdzētu uzņēmumiem pielāgoties mainīgajām tehnoloģiju vajadzībām.
Data Engineer (Hybrid) – Kyndryl, Granada, Spain
Join Kyndryl as a Data Engineer in Granada, building RAG pipelines, vector databases, knowledge graphs, and semantic data layers. You will help maintain dependable AI data infrastructure for enterprise technology systems.
Apraksts
- Design and expand Retrieval-Augmented Generation (RAG) pipelines
- Convert unstructured IT logs and documentation into efficient vector embeddings
- Monitor and optimize vector database performance across platforms such as Pinecone, Milvus, and Weaviate
- Create knowledge graphs and semantic data layers
- Implement automated guardrails to identify noise, bias, and personally identifiable information
- Trace data-quality problems to their source and drive resolution
- Develop, deploy, and maintain CI/CD pipelines for data infrastructure
- Keep data context accurate, current, and dependable
Prasības
- Demonstrated expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
- Experience designing data pipelines with tools such as Glue, Databricks, Synapse, or Dataproc
- Hands-on experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
- Strong problem-solving, analytical, and critical-thinking abilities
- Capacity to oversee multiple projects while maintaining close attention to detail
- Ability to collaborate with technical and non-technical colleagues and convert business needs into technical requirements
- Preferred: background as a Data Engineer or in cloud modernization
- Preferred: experience with data modelling
- Preferred: professional certification such as Open Certified Technical Specialist with Data Engineering Specialization
- Preferred: cloud certification such as AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
- Preferred: familiarity with GitHub and Visual Studio
- Preferred: degree in a scientific field such as Computer Science, Software Engineering, or Information Technology
Priekšrocības
- Flexible and supportive working environment
- Programs and practices that prioritize employee well-being
- Dynamic culture designed to support hybrid work
- Be Well programs covering financial, mental, physical, and social health
- Individualized development objectives
- Ongoing feedback to support growth
- Certification opportunities with Microsoft, Google, and Amazon
- Coaching plus practical learning experiences
- Access to advanced learning opportunities
- Career-planning tools and development assistance