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• Ser parte del Chapter QA que crea software e infraestructura para probar nuestras soluciones que componen todo nuestro ecosistema. Nuestras soluciones son móviles, Web, API y orientadas a Data.
• Ser parte de un squad comprometido con la entrega de funcionalidades de alto impacto.
• Participar continuamente en discusiones para mejorar el desempeño general del equipo y las metodologías de trabajo.
• Esté dispuesto a participar en discusiones multifuncionales con su equipo para mejorar continuamente nuestro producto.

JOB SUMMARY

We are looking for an inquisitive, driven and experienced Software AI Developer in Test to join our AI Test Lab team. Reporting to our Senior Engineering Manager, you will focus on research and hands-on build & test of cutting-edge AI open-source frameworks and libraries that complement and enhance the  company platform and

refine our market fit. You will also rigorously test our AI-powered features to ensure they deliver accuracy, performance and value to our users. You will work across our tech stack and work with everyone in the company spanning technical and non-technical roles.

ROLE AND RESPONSIBILITIES

• Conducts hands-on research of open-source and proprietary AI tools, libraries and frameworks to help integrate and improve our solutions.

• Drives testing of our AI-enabled features to ensure semantic accuracy and optimal performance.

• Executes testing activities such as Regression, System, Functional, Integration, and Performance.

• Follows established Agile process and QA best practices for high-quality releases.  

• Contributes to design, implementation and support of existing test automation framework and tests.

• Systematically thinks through potential design impacts on other teams and the company.

• Works with team members in QA, Development, Product Management and our Developer Advocate to  help refine our roadmap to meet market needs.

• Go-to Expert in an area, with an increasingly strategic mindset.

QUALIFICATIONS & EDUCATION/CERTIFICATION REQUIREMENTS

• Bachelor’s degree in engineering computer science or related field

• English level CEFR B1

• 5+ year’s experience as a Test Engineer.

• Demonstrated experience with and understanding of AI/ML concepts and technical trends.

PREFERRED SKILLS

• Experience testing web apps and solid understanding of QA methodologies, tools and processes.

• Proficient in Python and JavaScript with a proven ability to write maintainable code.

• Coding experience in applying ML frameworks such as Keras, scikit-learn, TensorFlow, PyTorch,

Langchain, OpenAI and Huggingface

• Knowledge of CI/CD tools and processes (GitHub Actions, Jenkins) and version control (e.g. Git)

• Excellent communication skills (written and verbal).

• Handles open-ended problems & ambiguity well.

Somos un importante banco peruano que desde hace más de 130 años viene liderando el sistema financiero a nivel nacional. A lo largo de todo este tiempo hemos contribuido con el desarrollo económico  de nuestro país, transformando planes en realidad.

Como Quality Engineer tus responsabilidades serán: 

• Analizar los requerimientos del usuario.
• Elaborar estrategia de pruebas.
• Estimar, priorizar, planificar actividades de prueba (preparación de data, ejecutar, documentar resultados, etc.)
• Diseñar e implementar casos de pruebas manuales y automatizados.
• Identificar, registrar y asegurar que los defectos encontrados sean corregidos antes de entregar el software al cliente.
• Ejecutar pruebas funcionales (automatizados)
• Verificar los cambios en ambiente de productivo.

Quality Data Engineer

Job Description:

We are seeking a Quality Data Engineer with a strong background in data quality engineering and data migration. The ideal candidate will have expertise in SQL, AWS/Redshift, and hands-on experience with data pipelines and migration efforts. This role will focus on ensuring the quality of data as it transitions from on-premise systems (SQL Server) to AWS/Redshift and integrates with platforms like Salesforce. The successful candidate will be involved in implementing and documenting processes, ensuring the adaptation of best practices, and integrating quality measures into data systems.

Key Responsibilities:

• Lead and maintain data migration efforts from on-premise SQL Server to AWS/Redshift, ensuring data quality throughout the process.
• Design, implement, and monitor data pipelines with a strong focus on quality and best practices.
• Work collaboratively with software engineers and data teams to implement QE (Quality Engineering) practices for development processes.
• Develop, document, and maintain best practices for data quality in the context of AWS and Salesforce integrations.
• Utilize and manage tools like SSIS, Python, CData (nice to have), dbt, and Astronomer to maintain data quality across environments.
• Build, maintain, and optimize SQL queries and scripts for data extraction, transformation, and loading.
• Collaborate with teams to define and enforce data governance and quality assurance measures.
• Work on integrating and automating data validation processes and quality checks within the pipeline.

Required Qualifications:

• 3+ years of experience in Data Engineering with a focus on data quality.
• Proficiency in SQL and experience working with AWS/Redshift environments.
• Experience with data migration projects from SQL Server to cloud platforms such as AWS/Redshift.
• Hands-on experience with SSIS, Python, and working knowledge of dbt and Astronomer (nice to have).
• Strong understanding of Quality Engineering (QE) practices and their application in data engineering processes.
• Experience with data integration platforms like Salesforce.
• Strong documentation skills with the ability to adapt and adopt best practices for data quality and governance.

Preferred Qualifications (Nice to Have):

• Experience with CData for data integration.
• Hands-on experience with dbt and Astronomer for managing data pipelines.