Описание

Accenture is a integral professional services company that helps businesses, public administrations, and other organizations develop their digital core, optimize operations, accelerate revenue growth, and improve citizen services.
Задачи

Develop and maintain data pipelines integrating information from different sources.
Prepare, transform, and organize structured and unstructured data for AI applications.
Develop ETL/ELT processes to automate data loading and transformation.
Design and develop AWS data pipelines using S3, Glue, Aurora PostgreSQL, and Neptune.
Implement graph queries with SPARQL, Cypher, or Gremlin and combine them with SQL and vector search.
Build RAG, semantic search, and metadata enrichment solutions for LLM use cases.
Collaborate with AI, analytics, and development teams to create scalable and efficient solutions.
Manage metadata and document processes to ensure information traceability.
Participate in initiatives related to semantic search, generative AI, and intelligent assistants.




Design end-to-end knowledge-oriented data architectures for AI-driven systems.
Integrate enterprise repositories including S3, SharePoint, and FileNet while ensuring semantic consistency.
Define hybrid query strategies using relational, graph, and vector approaches according to the use case.
Ensure data quality, data lineage, and compliance with data governance standards.
Требования

University degree in Engineering, Computer Science, Mathematics, Physics, or an equivalent field.
Professional experience in Data Engineering, Software Engineering, or AI Engineering in production environments.
Advanced Python and SQL skills.
Experience with AWS services including S3, Glue, Aurora PostgreSQL, Neptune, and Bedrock.
Experience with graph databases and query languages such as SPARQL, Cypher, or Gremlin.
English at B2/C1 level.
Knowledge and experience using generative AI and AI tools applied to the workplace.
Nice to have: Experience with LangChain, LlamaIndex, or

📌 разработчик greenplum for AI-driven systems (Madrid)
🏢 Enfint
📍 Madrid