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описание
The team builds scalable, production-grade data and AI-enabled systems for a Fortune 50 client, including data pipelines, backend services, APIs, and knowledge graph solutions.
задачи
Build ETL pipelines;
Design data models;
Design and implement GraphRAG solutions combining knowledge graphs, vector search, metadata, and LLM-based retrieval;
Create Source to Target Mappings (STMs) for ETL specifications;
Implement automated ingestion patterns, incremental (delta) updates, and streaming/CDC workflows;
Gather requirements, set targets, define interface specifications, and conduct design sessions;
Work closely with data consumers to ensure proper integration;
Adapt and learn in a fast-paced project environment.
требования
Strong proficiency in Python for building backend services, APIs, and data pipelines;
Experience with ETL, data modeling, and performance tuning;
Experience with Neo4j, Cosmos DB, or Gremlin API;
Knowledge of GraphRAG, retrieval systems, LLMs, embeddings, and RAG pipelines;
Hands-on GenAI experience with LangGraph or similar, MCP, RAG, and agentic memory management;
Hands-on experience with Microsoft Fabric, Synapse, ADF, or similar cloud data stacks;
Understanding of software engineering and testing practices within an Agile environment;
Experience with Data as Code, version control, small and regular commits, unit tests, CI/CD, and packaging;
Familiarity with Docker;
Efficient, high-performance data pipeline experience for real-time and batch data processing;
Excellent teamwork and communication skills;
Proficiency in English with strong written and verbal communication skills;
Nice to have: Experience with Databricks or similar data platforms, vector databases, Azure AI Search, or semantic search platforms, Kubernetes.
условия
Long-term contract with a European LLC;
Full-time contract work;
Start date: ASAP;
Rate: 300-340 EUR/day;
Remote-first contract with 99% remote work in Europe;
Must be able to travel freely within Europe for workshops;
US working hours overlap required from 2 PM to 6 PM CET.