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.
We are seeking an experienced Data Engineer with creativity and competence in a wide range of technical areas. This role involves designing, building, and implementing high-quality technical solutions while leading and guiding others with expertise.
Key Responsibilities
- Design robust, scalable data-driven solutions to support long-term needs with a deep understanding of technical best practices
- Develop complex data processing systems to meet data consumers requirements
- Create CI/CD pipelines to automate production deployments and monitoring
- Develop infrastructure as code for automated, clean, and organized infrastructure deployments
- Apply data cleansing techniques to improve data quality and facilitate consumption
- Show initiative and offer mentorship proactively to junior team members to enhance their solutions
- Mastery of the data stack and a profound understanding of data platform components
- Design complex distributed systems using batch and streaming fundamentals with a focus on delivering results
- Collaborate effectively with technical leaders, architects, and stakeholders
- Focus discussions on important aspects, drive team alignment, and actively participate in methodology meetings and code reviews, guiding others
Position Requirements
- Proven ability to transform requirements into working software in production
- Ability to collaborate effectively within an interdisciplinary team
- Capable of leading medium to complex projects requiring multiple iterations and different technologies
- Strong understanding of a well-organized Software Development Lifecycle (SDLC)
- Proficient knowledge of integrating non-functional requirements into solution delivery
- Experience in designing, implementing, testing, and deploying production-ready code
- Expertise in designing and solving data processing problems
- Skilled in building and debugging Spark-based applications
- Ability to collaborate with data consumers to apply large-scale data analytics and machine-learning techniques
- Strong technical background in programming, preferably with Java and Python; Scala is a plus
- Proficiency in SQL traditional query development
- Solid experience and understanding of software design patterns
- Solid experience with database engines and distributed programming engines for data processing, particularly with Spark
- Proven experience in integrating, designing, and building data pipelines
- Solid experience in deploying and maintaining data pipelines in production environments
- Knowledge of big data AWS cloud services: S3, EC2, Glue, Athena, Lambda and EMR
- Experience developing high-level streaming solutions
- Experience working with distributed message brokers in production
- Experience with any non-relational databases, preferably Apache Cassandra
- Experience implementing data warehousing using data modeling techniques
- Knowledge of data architecture fundamentals
- Knowledge of data governance being actively participating in a program
Nice to have:
You’ll love working at Kueski because
- 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 wellbeing 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
Top Skills
What We Do
Kueski is the largest online consumer lender in Mexico, that provides financial services for users who are ineligible for traditional bank loans.
Thanks to its technology and data analysis criteria, the company has positioned itself as a market leader.
In 2016, Adalberto Flores, CEO and Co-founder of Kueski, was recognized as Mexican Entrepreneur of the Year by Endeavor.
Tuesday Capital, Victory Park Capital, Sobrato Family, Angel Ventures Mexico, Rise Capital, Core Ventures Group, Ariel Poler, Pedro Aspe, Bismarck Lepe, Variv Capital, David Begler, Endeavor Catalyst, and Auria Capital are among the companies betting on this project.
Check out the Jobs section to see all the open positions that we have, and enjoy the most creative, smart, disruptive and fun team that you could imagine
