Required Qualifications :
– 0-2 years of professional software development experience with focus on data engineering
– Strong proficiency in Python for data processing and analysis
– Advanced SQL skills with experience in optimization and complex queries
– Basic understanding of AWS cloud services and architecture
– Working knowledge of JavaScript for web development
Build and maintain data pipeline (50%):
– Automate data ingestion and processing across firm wide sources with a focus on natural language datasets (company filings, interviews, research reports)
– Ensure data quality, reliability, and performance of ETL processes
– Implement monitoring and alerting systems for data pipeline health
Machine Learning & Analytics Implementation (30%)
– Test and build models to improve or quantify Kora’s knowledge discovery and investment processes
– Collaborate with research and investment team members to translate business requirements into technical solutions
Build and analyze web-scrapers (10%) :
– Build systems to collect, process and visualize data scraped from websites. APIs and RSS feeds
– Maintain existing scrapers
Ad hoc data analysis (10%)
– Analysis and summarization of datasets to answer research questions on current or prospective portfolio companies
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