Data Engineers
As a Data Engineer for Cora, you will design and maintain robust data pipelines and architectures that power our next-generation Agentic AI and Generative AI capabilities.
Cora handles over 15 million customer conversations annually, and we are evolving it into a financial coach and smart digital assistant. Your work will enable seamless integration of conversational data, advanced analytics, and AI-driven insights.
Key Responsibilities & Skills
1. Programming Proficiency
Strong proficiency in Python and SQL.
Experience with data manipulation libraries (Pandas, PySpark) and API integration.
2. Data Pipelines
Expertise in ETL processes, data warehousing, and real-time streaming pipelines.
Experience with SQL databases (e.g., DB2).
Building scalable pipelines for large conversational datasets.
3. Cloud Expertise
Proficiency in AWS, IBM Cloud, or similar.
Familiarity with tools like AWS Bedrock, Dataflow, IBM Watson, or similar.
Exploratory Data Analysis (EDA) for conversational and behavioural data.
Familiarity with GenAI & Agentic AI concepts:
• Retrieval-Augmented Generation (RAG)
• Orchestration frameworks for AI agents (e.g., LangChain, Haystack)
• Understanding of AI safety, compliance, and bias mitigation in financial services.
• Familiarity with LanGraph and LangChain
Schedule: Full-time
Travel: No