Build scalable AI data pipelines with Python, Py Spark, and Databricks as a Principal Engineer supporting Citi’s Enterprise Risk Technology platform.This intermediate-level Principal Engineer works within Retail and Wealth Risk Engineering. You will design enterprise-grade data solutions, deploy AI agents, and support analytics platforms using Fast API, Kafka, and microservices. The work includes data federation, cloud-native infrastructure, and human-in-the-loop workflows.Key Responsibilities: Design scalable AI agents and ELT/ETL data pipelinesDeploy generative AI agents using Google ADK and LLMsBuild data federation layers for Data Mesh architecturesAutomate microservice integrations with CI/CD pipelinesMaintain data quality, integrity, and securityRequirements: Eight or more years in large-scale application developmentFive or more years leading Python and Py Spark engineeringExperience with Databricks, Quick API, YAML, JSON, and LLM integrationsStrong SQL and relational database experienceBachelor’s degree in Computer Science, Engineering, or related fieldApply Principal Engineer expertise across Python, Py Spark, Databricks, AI agents, and enterprise data engineering at Citi.#J-18808-Ljbffr

📌 Principal Ai Data Engineer (Mississauga)
🏢 Citi
📍 Mississauga