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Especialista en Modelamiento y Arquitectura de Datos

Encora · Colombia

CSA Billable Lima Posted May 8, 2026

Título del puesto: Senior Data Modeler

Habilidades clave: Modelamiento de Datos, Data Architecture, Data Warehouse, Lakehouse, Azure, Gobierno de Datos, Semántica de Datos

Experiencia: +4–5 años de experiencia en puestos similares.

Ubicación: Colombia.

Modalidad: Hibrido

En Coforge estamos buscando Senior Data Modeler (21268) con el siguiente perfil.

Responsabilidades principales

• Diseñar, mantener y evolucionar modelos de datos corporativos de alta calidad alineados a la arquitectura de datos de la organización.
• Asegurar la consistencia semántica, escalabilidad y soporte a analítica, BI y casos avanzados (IA/ML).
• Diseñar modelos de datos conceptuales, lógicos y físicos.
• Construir y mantener modelos relacionales y dimensionales (Kimball / Star Schema).
• Diseñar entidades maestras y transaccionales.
• Aplicar normalización (3FN) y desnormalización controlada según el caso de uso.
• Definir y mantener nomenclaturas, lineamientos de modelamiento y semántica de datos.
• Gestionar glosarios, diccionarios de datos y metadatos asociados a los modelos.
• Versionar modelos y gestionar cambios de forma controlada.
• Apoyar el diseño de arquitecturas de datos escalables y orientadas al performance.
• Colaborar con equipos de arquitectura, gobierno de datos y analítica.

Requisitos indispensables

• +4–5 años de experiencia en roles de modelamiento de datos o arquitectura de datos.
• Experiencia en modelamiento conceptual, lógico y físico.
• Experiencia en modelos relacionales y dimensionales (Kimball / Star Schema).
• Conocimiento de arquitecturas Data Lake / Lakehouse (Medallón) y Data Warehouse moderno.
• Conocimiento de integración de datos batch (estructurada y no estructurada).
• Conocimientos básicos de gobierno de datos: calidad, linaje, seguridad y privacidad.
• Experiencia trabajando con plataformas en la nube, especialmente Azure.
• Comprensión de pipelines de datos end-to-end.
• Capacidad de lectura y apoyo en diagramas de arquitectura.
• Conocimiento básico de conceptos de IA/ML desde la perspectiva del dato (features, calidad, histórico).
• Inglés avanzado a nivel conversacional.

Requisitos deseables

• Conocimiento del marco de referencia BIAN (13.0).
• Experiencia con Feature Store.
• Uso de herramientas de modelamiento como Erwin Data Modeler.
• Experiencia con Azure Data Factory, Databricks y Unity Catalog.
• Experiencia en proyectos de Data Warehouse y Lakehouse.

Publicado el: 08-05-2026

En Coforge, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

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Lead Machine Learning Engineer

Referrals Only · Lima, Peru

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1Y_TWPER SL DATA Lima Posted May 7, 2026

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

Job responsibilities

You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation
You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation
You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization

Job qualifications

Technical Skills

You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
You can design and execute cross-functional requirements based on business priorities
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
You have experience with distributed systems and scalable architectures to handle large-scale ML applications
You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
You enjoy influencing others and always advocate for technical excellence while being open to change when needed
You are a proven leader with a track record of encouraging teammates in their professional development and relationships
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Travel

While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.

Company Policies

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

About Thoughtworks

Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.

Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.

See here our AI policy.

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Lead Data Engineer

Referrals Only · Lima, Peru

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1Y_TWPER SL DATA Lima Posted May 7, 2026

Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.

Job responsibilities

You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.
You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
You will be responsible for data governance, data security and data privacy to support business and compliance requirements.
You will define the strategy for and incorporate data quality into your day-to-day work.

Job qualifications

Technical Skills

You have experience with databricks
Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.
You have a deep understanding of Gen/AI and LLMs
You have experience in writing clean, high-quality code using the preferred programming language.
You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
You have experience with data visualization techniques and can communicate the insights as per the audience.
You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
Advanced English is required

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

See here our AI policy.

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Technical Business Analyst

Axi · Limassol, Cyprus

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Support India Posted May 7, 2026

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in Cyprus.

Who We Are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you will do at Axi!

We are looking for a Technical Business Analyst who will play a key role within the Operations, Governance, and Control team by gathering, analysing, and documenting data requirements to support the delivery of a centralised, self-service data platform across all business divisions, while assuming responsibility for existing data reporting and operational support activities. The role will have significant responsibility within the Data Strategy initiatives, including leading the end-to-end migration, reconciliation, and validation of five critical data domains to ensure business reporting requirements are successfully transitioned and aligned with business needs. In parallel, the position will contribute to foundational Data Strategy enablers, such as Master Data Management (MDM), data lineage, data cataloguing, and governance artefacts - essential to achieving sustainable, scalable, and compliant self-service analytics. The Technical Business Analyst will also produce high-quality documentation and actionable reports and dashboards to support informed, data-driven decision-making across program teams and senior leadership. This is a hybrid opportunity of working 2 days from office & 3 days from home & shift starting from 7AM.

Your EDGE Assignment/You Will

Gather, analyse, and document data and reporting requirements across business divisions to support delivery of a centralised, self-service data platform.
Collaborate with business stakeholders, data engineering, and tech ops teams to translate business needs into clear, traceable technical specifications, user stories, and acceptance criteria, using Jira and Azure DevOps, ensuring alignment with agile delivery cycles.
Lead requirements, planning, and validation activities for the end-to-end migration, reconciliation, and testing of five critical data domains, ensuring reporting continuity and alignment with business needs.
Maintain ownership of existing data reporting and operational support activities, promptly identifying and resolving reporting or data quality issues.
Document current and future state processes, data flows, and governance standards, ensuring clear, accessible, and version-controlled documentation.
Contribute to foundational Data Strategy initiatives, including Master Data Management (MDM), data lineage, data cataloguing, and governance artefact development.
Ensure all data initiatives align with organisational data governance, security, privacy, and compliance requirements.
Support testing and validation activities, including UAT preparation, issue tracking, and verification of migrated and newly developed data solutions.
Monitor project progress, dependencies, and risks, proactively escalating issues and recommending solutions to maintain delivery timelines.
Prepare and present high-quality reports and dashboards using Power BI (proficient in DAX and SQL) to provide actionable insights for program teams and senior leadership.
Demonstrate flexibility to support team priorities as needed, readily pivoting to assist across tasks and initiatives.
Take accountability and ownership for deliverables, working independently without close supervision while actively collaborating and contributing to team success.

Are you the one?

10+ years of experience as a Technical Business Analyst, preferably in data-driven and product-based environments.
Strong hands-on experience with Power BI and DAX, including building dashboards, reporting solutions, and translating business insights into actionable data.
Proficiency in Databricks and SQL for data analysis, querying, and supporting analytics and reporting initiatives.
Hands-on experience using Confluence for documentation, collaboration, and knowledge management.
Demonstrated expertise in technical documentation, including requirement gathering, user stories, process flows, and functional specifications.
Experience leading UAT activities, coordinating with stakeholders, and ensuring successful delivery of business outcomes.
Solid knowledge of data governance and data management practices, including MDM, RBAC/ABAC, PII compliance, data lineage, and cataloging.
Excellent communication and stakeholder management skills, with the ability to collaborate across technical and non-technical teams.
Strong documentation, analytical thinking, and problem-solving abilities.
Proven ability to manage multiple priorities, deliver in fast-paced environments, and work independently.

Nice to Have

- Exposure to cloud platforms such as AWS and GCP.
- Experience working in the trading, financial services, or fintech domain.
- Understanding of trading platforms such as MetaQuotes and related ecosystems.
- Strong teamwork, collaboration, and time management skills.

Axi's bag of delights

Competitive and attractive compensation.
Extensive learning opportunities, such as professional training and certifications and soft skills development.
Private Health insurance for employees.
21 days of annual leave per year, additional study, volunteer and sick leave applies.
Team-building experiences and corporate parties.

Axi's interview journey

Talent Acquisition Interview (45 minutes)
Technical Interview 1 (1 hour)
Cultural Fit Interview (30 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

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Senior Machine Learning Engineer

Referrals Only · Lima, Peru

Apply now

Americas - Data and Artificial Intelligence Lima Posted May 5, 2026

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.

As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

Job responsibilities

You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.

Job qualifications

Technical Skills

An advanced English level is required.
You must have a strong experience with LLM and AI.
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

See here our AI policy.

Ready to apply?

Apply to Referrals Only

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EN

Senior Data Governance

Encora · Lima

Apply now

CSA Billable Lima Posted Apr 30, 2026

Información Importante

Ubicación: Perú

Modalidad de trabajo: Híbrido, asistencia a oficina en Surquillo 2-3 veces por semana

Resumen del puesto

Como un Data Governance (20616), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia.

Requisitos y Habilidades

Profesionales de Ing. de Sistemas, Software, Informática o afines con +4 años de experiencia en Gobierno de Datos.
Experiencia aplicando DAMA-DMBOK.
Conocimiento básicos de BIAN, COBIT, DMM
Experiencia con Marcos de Gobierno, Modelos de Gobierno de datos.
Experiencia elaborando lineamientos, políticas de gobierno y calidad de datos.
Experiencia trabajando con Databricks, Oracle.
Experiencia en Calidad de Datos (implementación de reglas, tableros de calidad)
Experiencia con herramientas de Gobierno y Calidad de Datos como Collibra, Montecarlo, Hana, Informática, otras.
Dominio de Copilot

Acerca de Encora

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

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Encora

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EN

Data Analyst Mid

Encora · Peru

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CSA Billable Lima Posted Apr 29, 2026

Información Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido

Resumen del Rol

Buscamos un Data Analyst Mid (20597) enfocado en visualización y análisis de datos para negocios digitales. Serás responsable de transformar datos en insights accionables, diseñar dashboards y apoyar la toma de decisiones estratégicas mediante análisis avanzado.

Responsabilidades y Funciones

Analizar datos de negocio y generar insights relevantes.
Diseñar y desarrollar dashboards e indicadores (KPIs).
Construir y mantener procesos ETL (Databricks u otras herramientas).
Realizar limpieza, transformación y validación de datos.
Aplicar modelos estadísticos y análisis predictivo.
Comunicar hallazgos a stakeholders técnicos y no técnicos.
Colaborar con equipos de negocio y tecnología.

Requisitos y Habilidades

+3 años de experiencia en análisis de datos o BI.
Formación en Estadística, Economía, Computación o afines.
Dominio de SQL y conocimiento en Python, R o Scala.
Experiencia en herramientas de visualización (Power BI, Looker Studio).
Conocimiento en modelado estadístico y análisis predictivo.
Experiencia en desarrollo de procesos ETL (Databricks).
Experiencia en diseño de dashboards y definición de KPIs.
Experiencia trabajando en entornos ágiles.

Sobre Encora

Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.

En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.

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Encora

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Especialista en Modelamiento y Arquitectura de Datos

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