Data Engineer
Core
Architect high-performance data infrastructure and real-time pipelines enabling agentic AI to reason over complex enterprise environments.
Role type
AI Data Engineer
Builds
Real-time data pipelines, RAG systems, vector databases, semantic layers, and CI/CD pipelines for data infrastructure.
Domain
Enterprise IT, AI/ML infrastructure, Data Engineering
Deliverable
production ML models
Required skills
Data mining, ETL processes, Data pipelines development, Relational and NoSQL databases, Vector databases, Knowledge graphs, Data quality automation, CI/CD pipelines
Preferred skills
Cloud modernization, Data Modelling, Professional certifications (Data Engineering, Cloud), Social coding/IDEs
Technologies
Glue, Databricks, Synapse, Dataproc, PostgreSQL, DB2, MongoDB, Pinecone, Milvus, Weaviate, GitHub, Visual Studio
Responsibilities
Design and scale pipelines for Retrieval-Augmented Generation (RAG), Ensure health and performance of vector databases, Build knowledge graphs and semantic layers, Automate data guardrails to detect noise, bias, or PII, Build and maintain CI/CD pipelines for data infrastructure
Seniority
Mid-Senior, hands-on IC
