About Us
Thndr aims to democratize access to investing through innovative technology and human-centered design, providing anyone with a smartphone easy access to preserve and grow their wealth. We promote local investment products to boost the economies we serve.
Investing has proven to be the most effective way to build long-term wealth. However, before Thndr, only a small percentage of people had access to investing due to:
* High barriers to entry - Minimum account balances, physical onboarding, and low financial literacy.
* Irrelevant experience - Catered towards traders and financial experts, excluding the majority of the population.
* Lack of a unified platform - Investment products are not gathered in one place.
We've validated our solution's need by these key figures:
* 3 million app downloads
* $8.8bn in annualized traded value
* #1 platform in terms of traded value
* 84% of our users invest for the first time
* 65% of our users come from outside capital cities and had limited access to financial institutions
We're proud of our progress and impact, but we're just getting started.
Your Role
* Foster collaboration with data stakeholders to understand challenges and translate them into actionable data products.
* Design, implement, and automate robust data pipelines, profile, test, and automate data quality tests, engaging with stakeholders to enhance data quality.
* Model data for analytics and collaborate with the data analytics team to deliver reports and dashboards.
* Help design and implement a unified semantic layer serving as the primary source for metrics in Thndr.
* Utilize open-source tools and cloud components to design scalable and robust data-intensive solutions.
* Demonstrate working knowledge of message queuing, stream processing, and highly scalable big data storage systems.
Your Qualifications
* Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Information Systems, or equivalent experience.
* 5+ years of industry experience in Data Engineering.
* Strong understanding of algorithms and data structures.
* Proficiency in Python and Java or Scala programming languages.
* Good knowledge of Extract Transform and Load/Extract, Load and Transform, reporting, and analytic tools.
* Experience with data warehouses, technical architectures, and cloud data infrastructure components.
* Experience with infrastructure as code, Kubernetes, and containerization.
* Good knowledge of SQL and experience with at least 1 relational database, 1 document database, 1 key-value store, 1 message queuing system, and 1 scalable cloud-based OLAP system.
* Good understanding of distributed systems theory.
* Knowledge of dimensional modeling is an asset.
* Experience with headless BI and Semantic Modeling is an asset.
* Exposure to modern modeling frameworks and technologies is an asset (dbt, Dataform, SQLMesh).
We're looking for individuals driven by our mission, who can become agents of change and understand the responsibility that comes with handling people's finances.