About Kueski
At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.
We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.
Purpose
Over half of the Mexican population does not have access to financial products, due to the limitations of traditional banking institutions. Kueski’s mission is to provide financial opportunities to these people through technological innovation.
The Data Engineer develops complex data processing systems to support data consumers and provide data-driven solutions.
- Design robust data-driven solutions at scale that support long-term needs
- Develops complex data processing systems to support data consumers' use cases
- Develops CI/CD pipelines to automate production deployments and monitoring
- Develops infrastructure as code to deploy automated, clean, and organized infrastructure
- Apply data cleansing techniques to facilitate data consumption and quality
- Provide guidance to others to strengthen their solutions with experience
- Ability to transform requirements into working software in production
- Ability to collaborate in an interdisciplinary team
- Ability to undertake and lead medium to complex projects that require multiple iterations and may involve different technologies
- Knows how a good Software Development Lifecycle (SDLC) is organized
- Knows how the non-functional requirements are part of delivering a solution
- Design, implement, test, and deploy production-ready code
- Design and implement reliable solutions to data processing problems
- Design, build, and debug Spark-based applications
- Make partnerships with data consumers to apply large-scale data analytics and machine-learning techniques
- Strong technical background in programming, preferably with Java & Python, and Scala is a plus
- Strong knowledge of SQL traditional query development
- Experience and understanding of software design patterns
- Experience working with database engines
- Experience using distributed programming engines for data processing with Spark
- Experience integrating, designing, and building data pipelines
- Experience deploying and maintaining data pipelines in production
- Knowledge of big data AWS cloud services: S3, EC2, Glue, Athena, EMR
- Experience developing high-level streaming solutions is a plus
- Experience developing infrastructure as code tools is a plus
- Experience with non-relational databases is a plus
- Experience working with BI tools is a plus
- We have a mission-driven culture focused on customer value, teamwork, humility, and integrity
- Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition are embedded in our company processes, systems, and practices
- We ensure competitive salary, medical insurance, and well-being through ample and flexible time off as well as mental healthcare benefits
- Everyone is an owner and eligible for competitive stock options with a company poised for success. We're committed to building an inclusive and diverse team and we know this leads to incredible work
Kueski: Where talent excellence improves Mexican lives.
#LifeAtKueski #KueskiTalent
