Data Engineer, Asia

Do you want to work in a small team where you can make a real difference in a company? Would you embrace the challenge of building a high impact platform that is used globally? Then we want to speak with you! About Cascade: Cascade is a fintech startup backed by Canadian and US investors that empowers companies to grow by democratizing access to institutional debt. We are building tools that modernize how companies raise and manage debt, lowering the barriers to entry to the $7 trillion specialty finance and alternative credit market for companies around the world. Founded in 2022, we are gearing up for our next phase of technical development and are seeking a talented Data Engineer to lead the way. About the role: As a Data Engineer you’ll be an early member of a growing team building a pioneering platform in the debt infrastructure space. You will design, build, and launch efficient, scalable, and reliable data pipelines to move and transform data. What You’ll Do Building databases, data lakes and data ingestion pipelines to integrate customer databases and datasets to our systems Ingesting financial datasets from external customers, then updating and maintaining accurate and complete data mappings to ensure that our products are displaying high quality data Monitoring and alerting across our data pipelines in order to make sure that our data ingests are reliable and correct Translating business goals and stakeholder requirements into new data flows and deliver analytical insights ensuring that the data flows create real business value continuously Skills And Experience 3+ years experience in a data engineering or data analyst role Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc. Experience working with loan or credit data Experience working with ETL technologies, such as Databricks, Fivetran, or dbt Proficiency in writing SQL queries and knowledge of analytical data warehouses such as RedShift, BigQ