Data Engineer
Stori Card
About Stori
Stori is a fast-growing, venture-backed financial technology company, on a mission to democratize credit access for 400 million underbanked LatAm consumers. Stori currently operates in Mexico and has a global team with offices in Arlington Virginia, Mexico City, and Asia. We have quickly made our mark as one of the top digital banks in Mexico with more than two million applicants for our credit card product since launching.
Stori is one of the top-funded startups in the region with US$250 million raised to date. We are backed by top global venture capital funds, such as GGV Capital, GIC, Lightspeed Venture Partners, General Catalyst, Goodwater Capital, Mexico’s Tresalia Capital, Vision Plus Capital, BAI Capital and Source Code Capital; who have successfully invested in startups such as Affirm, Airbnb, Alibaba, Stripe, and TikTok.
Stori has a standout founder team among fintechs, leveraging 100+ years of accumulated experience in consumer finance, banking and technology across Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC in the U.S., Mexico and Asia. The team has launched and managed many multi-million-customer credit card products globally, providing a wide breadth of experience and knowledge to our team.
We welcome diversity of background, experience and thinking. Storians are passionate about our mission and take pride in the products we build. Our culture thrives off of a flat structure and an inclusive environment where all of our employees can be their authentic selves, with boundless opportunities for professional growth.
The Role
As a Data engineer at Stori you will leverage cutting edge data pipeline and data management tools to innovate, design, build, and maintain well-managed data pipeline and data infrastructure solutions and capabilities to tackle BIG DATA challenges for the whole organization. This role will be responsible for developing data pipelines that load and transform raw data from various sources to our internal data lake and analytical data warehouse, set up data movement monitoring to ensure the data completeness, timeliness, and accuracy, and develop data infrastructure for source systems.
Your Impact
- Develop data pipelines that load and transform raw data from various sources to our internal analytical data warehouse, with proper monitoring set up to ensure data integrity and timeliness
- Work closely with internal analysts and stakeholders to translate the analytical data needs to technical data pipeline solutions
- Optimize the data structure and analytical platform to enable efficient data analysis, feature engineering, or ML development on BIG DATA
- Explore and develop new tools to manage the data access, data artefacts management and knowledge sharing, data defects management to serve the data needs of the whole analyst community in the company
What we are looking for
- A bachelor degree or foreign equivalent in Computer Science, Electronic Engineering, or a related quantitative analytical field.
- Experience with developing various types of production data pipelines & ETLs (Extract, Transform, Load) for batch and real-time data processing
- Experience with RDBMS, SQL and NoSQL databases
- Experience with Python or Node.js preferred
- Familiarity with technologies like AWS Serverless, S3, Lambda, Redshift, Athena, Glue, EMR, Kinesis, SQS, FIrehose, Redis, Kafka
- Experience with CI/CD (Continuous Integration, Continuous Delivery), Automated Testing, Automated Delivery
- Proven interpersonal, collaboration, diplomatic, influencing, planning and organizational skills.
- Consistently demonstrate clear and concise written and verbal communication.
- Demonstrated ability to work under pressure and to meet tight deadlines with proactive, decisiveness and flexibility.
What we offer
- Make a positive impact on the lives of our customers via financial inclusion
- Professional development opportunities
- International exposure & work experience
- Company swag
- Legally required benefits