In 2019, immigrants worldwide sent over $550 billion home to family and friends, dwarfing foreign governmental aid. In the age of cheap, quick transfers through services like Paypal and Venmo, these people are trekking to stores to pay fees averaging over 7% for transfers that typically take 24 hours or more.
Sendwave's mission is to change that by making sending money anywhere in the world easy and affordable. Since 2014, our app has allowed diaspora members from several African nations - and more recently Bangladesh and Sri Lanka, saving our users over 70% relative to Western Union and MoneyGram.
We are looking to rapidly expand around the world in the next year. That's where you come in...
We are looking for a Data Engineer to help expand the utility of our Data Warehouse through multiple phases of maturity.
As of today we have raw data from multiple silos landed in BigQuery. This is great for technically data savvy teams that are looking to do one-off analysis but is not suitable for many teams (Examples: Growth, Product, and Marketing) that need the data insights but either lack the technical skills to deal with the complex data model or need the information updated automatically so they can make real-time decisions.
Once our team’s basic needs are met, we have several backend processes that take 12+ hours to complete because we have limited resources attempting to process large datasets in batch. The Data Engineer will work with the teams responsible for those processes to plan, develop, and maintain an improved approach to the problem.
After we’ve accomplished data manipulation at scale, we will begin expanding functionality by monitoring metrics on streaming data (eg fraud related data points to detect corridor anomalies). The data engineer will design and implement system that can monitor a stream of data points and trigger alerts or actions based on their results.
We’re rapidly expanding into adjacencies to our core remittance product and want to emphasize that this is an insight-generating position that will solve real business problems from day 1.