We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Data Engineer at Weekday AI. This role is for one of Weekday’s clients. Min Experience: 5 years. Location: Remote (India). JobType: full-time. We’re looking for a Senior Data Engineer to support enterprise-grade AI solution deployments. This role will work closely with the AI/ML, Strategy & Cloud teams to build scalable data infrastructure, pipelines, and governance mechanisms—especially within the Azure OpenAI ecosystem.. Key Responsibilities. . Collaborate with AI Engineers to define data needs (structured, unstructured, real-time, batch). . Ingest, clean & transform datasets into AI-ready formats. . Build ETL/ELT pipelines using Azure-native tools. . Manage embedding/vector databases (Pinecone, FAISS, Azure Cognitive Search) for RAG models. . Enable data ingestion from APIs, DBs, SharePoint & other sources. . Work with Cloud/DevOps teams to operationalize AI data pipelines. . Optimize infrastructure costs & performance for AI workloads. . Ensure data governance, security & compliance (e.g., GDPR). . Required Skills. . 5+ years in Data Engineering (enterprise environments). . Strong expertise in Azure Data Factory, Synapse, Data Lake, Event Hubs, Databricks. . Proficient in Python, SQL, PySpark. . Experience building AI/ML data pipelines (NLP, embeddings, unstructured data). . Knowledge of data modeling, pipeline orchestration, CI/CD. . Familiarity with embedding/vector stores for GenAI. . Good to Have. . Azure Data Engineer Associate certification. . Experience with RAG-based AI architectures. . Bachelor’s/Master’s in CS, Data Engineering, or related field. . Company Location: India.