Data Engineer III
2024-08-14
Mexico
Kueski
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
Nice to have:
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
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
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
Nice to have:
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
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