50 Ofertas de Big Data en Chile

Especialista de Big Data

SONDA

Publicado hace 20 días

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Descripción Del Trabajo

¿Por qué ser parte de SONDA?

Porque al igual que tú, amamos lo que hacemos, tenemos pasión por la innovación y estamos convencidos de que a través del conocimiento y de la tecnología no solo vamos a transformar los negocios de nuestros clientes, sino también el futuro.

En SONDA vivirás una experiencia de trabajo con diversas oportunidades de desarrollo personal y profesional. Es un excelente lugar para aprender y contribuir a mejorar la calidad de vida de las personas mediante la tecnología.

Buscamos a Especialista en Big Data que quiera aprender y transformar su carrera.

Responsabilidades:
  • Crear la infraestructura de Big Data, incluyendo pipelines de datos desde la recolección hasta la entrega para análisis o para alimentar productos o servicios basados en análisis predictivos en producción.
  • Asegurar que la arquitectura de datos sea adecuada para que los científicos de datos puedan trabajar con ella.
  • Construir y mantener Data Lakes y ofrecer API para acceso a Data Science.
  • Proporcionar soporte para que el trabajo del Especialista en Data Science sea más efectivo.
Requisitos ideales:
  • Profesional en Ingeniería Civil, Ejecución en Computación e Informática, o carrera técnica o profesional afín, con más de 3 años de experiencia.
  • Experiencia en construcción de procesos e integración de datos en Big Data.
  • Conocimiento en computación distribuida y SQL.
  • Experiencia con bases de datos relacionales como Oracle y PostgreSQL.
  • Conocimiento en servicios en entorno Cloudera.
  • Programación en Java o Python y programación funcional en Scala/Spark.
  • Diseño de esquemas de datos y conocimientos en Hive, Impala, Kudu, Kafka.
  • Deseable experiencia en bases de datos NoSQL, sistemas Unix/Linux, shell scripting y herramientas CI/CD.
  • Conocimiento básico en computación en la nube es deseable.
Certificaciones o cursos deseables:
  • Integración de datos, Big Data, Desarrollo API, Microservicios, desarrollo en nube, seguridad en desarrollo, diseño de aplicaciones, metodologías ágiles.
Beneficios y cultura:
  • Flexibilidad laboral y desarrollo profesional continuo.
  • Ambiente colaborativo, diverso e innovador.
  • Plataforma educativa SONDA Academy y programa SONDA Wellness.
  • Compromiso con la diversidad e inclusión.

Ubicación: Las Condes, Santiago Metropolitan Region, Chile

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Big Data Engineer - Remote Work | REF#112978

BairesDev

Publicado hace 23 días

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Descripción Del Trabajo

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At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Big Data Engineer at BairesDev

Big Data Engineers will face numerous business-impacting challenges, so they must be ready to use state-of-the-art technologies and be familiar with different IT domains such as Machine Learning, Data Analysis, Mobile, Web, IoT, etc. They are passionate, active members of our community who enjoy sharing knowledge, challenging, and being challenged by others and are genuinely committed to improving themselves and those around them.

What You’ll Do:
  1. Work alongside Developers, Tech Leads, and Architects to build solutions that transform users’ experience.
  2. Impact the core of business by improving existing architecture or creating new ones.
  3. Create scalable and high-availability solutions, and contribute to the key differential of each client.
Here is what we are looking for:
  1. 6+ years of experience working as a Developer (Ruby, Python, Java, JS, preferred).
  2. 5+ years of experience in Big Data (Comfortable with enterprises' Big Data topics such as Governance, Metadata Management, Data Lineage, Impact Analysis, and Policy Enforcement).
  3. Proficient in analysis, troubleshooting, and problem-solving.
  4. Experience building data pipelines to handle large volumes of data (either leveraging well-known tools or custom-made ones).
  5. Advanced English level.
  6. Building Data Lakes with Lambda/Kappa/Delta architecture.
  7. DataOps, particularly creating and managing batch and real-time data ingestion and processing processes.
  8. Hands-on experience with managing data loads and data quality.
  9. Modernizing enterprise data warehouses and business intelligence environments with open-source tools.
  10. Deploying Big Data solutions to the cloud (Cloudera, AWS, GCP, or Azure).
  11. Performing real-time data visualization and time series analysis using open-source and commercial solutions.
How we make your work (and your life) easier:
  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred.
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive!

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Ingeniero de Big Data - Trabajo Remoto | REF#267272

BairesDev

Publicado hace 23 días

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Descripción Del Trabajo

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En BairesDev llevamos 15 años liderando proyectos de tecnología para clientes como Google, Rolls-Royce y las startups más innovadoras de Silicon Valley. Actualmente, contamos con un equipo de 4000 profesionales conformado por el top 1% de la industria trabajando de forma remota desde más de 50 países.

Al postularte a esta vacante, estarás dando el primer paso en un proceso que va más allá de lo convencional: Buscaremos conocer en profundidad tus habilidades, intereses y expectativas con el objetivo de realizar una búsqueda personalizada y encontrar el rol ideal para ti en BairesDev.

Los ingenieros de Big Data se enfrentarán a numerosos retos de impacto empresarial, por lo que deben estar preparados para utilizar tecnologías de vanguardia y estar familiarizados con diferentes dominios de TI, como el aprendizaje automático, el análisis de datos, los móviles, la web, el IoT, etc. Son miembros apasionados y activos de nuestra comunidad que disfrutan compartiendo conocimientos, desafiando y siendo desafiados por los demás y están realmente comprometidos con la mejora de sí mismos y de quienes les rodean.

Actividades Principales:
  1. Trabajar junto a Desarrolladores, Tech Leads y Arquitectos para construir soluciones que transformen la experiencia de los usuarios.
  2. Impactar en el núcleo del negocio mejorando la arquitectura existente o creando otras nuevas.
  3. Crear soluciones escalables y de alta disponibilidad, contribuir al diferencial clave de cada cliente.
Requisitos:
  1. 6+ años de experiencia trabajando como Desarrollador (Ruby, Python, Java, JS, preferentemente).
  2. 5+ años de experiencia en Big Data (Cómodos con los temas de Big Data de las empresas como Governance, Metadata Management, Data Lineage, Impact Analysis, and Policy Enforcement).
  3. Competente en análisis, solución de problemas y resolución de problemas.
  4. Experiencia en la construcción de pipelines de datos para manejar grandes volúmenes de datos (ya sea aprovechando herramientas conocidas o hechas a medida).
  5. Nivel avanzado de inglés.
  6. Construcción de Data Lakes con arquitectura Lambda/Kappa/Delta.
  7. DataOps, particularmente creando y gestionando procesos de ingesta y procesamiento de datos batch y en tiempo real.
  8. Experiencia práctica en gestión de cargas de datos y calidad de datos.
  9. Modernización de almacenes de datos empresariales y entornos de inteligencia de negocio con herramientas de código abierto.
  10. Despliegue de soluciones de Big Data en la nube (Cloudera, AWS, GCP o Azure).
  11. Visualización de datos en tiempo real y análisis de series temporales con soluciones comerciales y de código abierto.
Qué ofrecemos:
  • Trabajo 100% remoto: trabaja desde tu casa o donde quieras.
  • Compensación en USD o en tu moneda local, como prefieras, muy por encima de la media del mercado.
  • Horarios flexibles.
  • Licencias por mater/paternidad, vacaciones y días festivos nacionales pagos.
  • Ambiente laboral multicultural e innovador, perfecto para hacer amigos, colaborar y aprender de las personas más talentosas del mundo.
  • Oportunidades de crecimiento y desarrollo profesional a través de mentorías y entrenamientos.

¡Únete a nuestro equipo global!

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Part-Time Data Analytics Tutor

BlueSnap, Inc

Publicado hace 23 días

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Descripción Del Trabajo

workfromhome

TripleTen es un servicio que empodera a las personas, sin importar su experiencia previa, para embarcarse en el emocionante y desafiante camino de dominar profesiones tecnológicas. Nuestros bootcamps se enfocan en capacitar a los estudiantes en ingeniería de software, ciencia de datos, análisis de business intelligence y ingeniería de aseguramiento de calidad (QA), de una manera accesible y viable, llevándolos finalmente a prosperar en una nueva carrera.

Nuestra misión es garantizar que cada estudiante tenga la oportunidad de dominar con éxito una nueva profesión, encontrar su propósito y convertirse en un miembro valioso de la industria tecnológica.

Ten en cuenta que, después de postularte para este puesto, deberás completar una tarea de prueba tras tu llamada introductoria en línea.

¿Cuál es nuestro objetivo?

Aprender programación no es fácil, y la mayoría de nosotros lo hicimos de la manera difícil. Nuestro objetivo es ayudar a los estudiantes a evitar errores comunes, acelerar su proceso de aprendizaje y ayudarlos a conseguir empleo. Estamos buscando un científico de datos con experiencia para ser mentor de nuestros estudiantes y ayudarlos a convertirse en desarrolladores profesionales.

Liderarás una cohorte de estudiantes a través de nuestros programas de Análisis de Datos , compartiendo tu experiencia e inspirándolos con tus conocimientos del sector. Ayudarás a los estudiantes respondiendo sus preguntas y brindándoles consejos prácticos en las siguientes formas:

  • Webinarios en video (una o dos veces por semana).
  • Chats con los estudiantes.
  • Sesiones de live coding (1 sesión en vivo cada dos semanas).
  • Moderación y asesoramiento a colegas del equipo de experiencia estudiantil.

Y lo más importante: ¡serás una persona a la que tus estudiantes admirarán!

  • +3 años de experiencia trabajando como analista de datos.
  • Conocimiento de Python a nivel profesional resolviendo problemas de negocio (idealmente con al menos 3 años de experiencia).
  • +1 año de experiencia trabajando con SQL en problemas reales, visualizaciones, estadística y probabilidad, y Excel.
  • Experiencia con bibliotecas de Data Wrangling como Pandas, NumPy, Matplotlib, etc.
  • Disponibilidad para dedicar entre 10 y 15 horas por semana.
  • Inglés intermedio, español avanzado.
  • Capacitación en técnicas de mentoría y comunicación.
  • Capacidad para enseñar a los estudiantes mientras desempeñas tu trabajo principal.
  • Compartir experiencia con desarrolladares dentro de nuestra comunidad.
  • Ingresos promedio de $700 a $900 USD al mes por una colaboración flexible de medio tiempo, con gran impacto ¡y un equipo increíble!
  • Experiencia de colaboración intercultural en mentoría y realización de webinarios.
  • Cooperación remota con un horario conveniente tanto para ti como para el equipo. No nos enfocamos en la microgestión.
  • Una oficina digital cómoda. Utilizamos herramientas digitales modernas — Miro, Notion, Zoom, etc. — para que el trabajo conjunto sea fluido.
  • Un equipo diverso y unido distribuido entre EE.UU. y América Latina.
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Part-Time Data Analytics Tutor

TripleTen

Publicado hace 23 días

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Descripción Del Trabajo

workfromhome
Join or sign in to find your next job

Join to apply for the Part-Time Data Analytics Tutor role at TripleTen

TripleTen es un servicio que empodera a las personas, sin importar su experiencia previa, para embarcarse en el emocionante y desafiante camino de dominar profesiones tecnológicas. Nuestros bootcamps se enfocan en capacitar a los estudiantes en ingeniería de software, ciencia de datos, análisis de business intelligence y ingeniería de aseguramiento de calidad (QA), de una manera accesible y viable, llevándolos finalmente a prosperar en una nueva carrera.

Nuestra misión es garantizar que cada estudiante tenga la oportunidad de dominar con éxito una nueva profesión, encontrar su propósito y convertirse en un miembro valioso de la industria tecnológica.

Ten en cuenta que, después de postularte para este puesto, deberás completar una tarea de prueba tras tu llamada introductoria en línea.

¿Cuál es nuestro objetivo?

Aprender programación no es fácil, y la mayoría de nosotros lo hicimos de la manera difícil. Nuestro objetivo es ayudar a los estudiantes a evitar errores comunes, acelerar su proceso de aprendizaje y ayudarlos a conseguir empleo. Estamos buscando un científico de datos con experiencia para ser mentor de nuestros estudiantes y ayudarlos a convertirse en desarrolladores profesionales.

What you will do:

Liderarás una cohorte de estudiantes a través de nuestros programas de Análisis de Datos, compartiendo tu experiencia e inspirándolos con tus conocimientos del sector. Ayudarás a los estudiantes respondiendo sus preguntas y brindándoles consejos prácticos en las siguientes formas:

  • Webinarios en video (una o dos veces por semana).
  • Chats con los estudiantes.
  • Sesiones de live coding (1 sesión en vivo cada dos semanas).
  • Moderación y asesoramiento a colegas del equipo de experiencia estudiantil.

Y lo más importante: ¡serás una persona a la que tus estudiantes admirarán!

Requirements:
  • +3 años de experiencia trabajando como analista de datos.
  • Conocimiento de Python a nivel profesional resolviendo problemas de negocio (idealmente con al menos 3 años de experiencia).
  • +1 año de experiencia trabajando con SQL en problemas reales, visualizaciones, estadística y probabilidad, y Excel.
  • Experiencia con bibliotecas de Data Wrangling como Pandas, NumPy, Matplotlib, etc.
  • Disponibilidad para dedicar entre 10 y 15 horas por semana.
  • Inglés intermedio, español avanzado.
What we can offer you:
  • Capacitación en técnicas de mentoría y comunicación.
  • Capacidad para enseñar a los estudiantes mientras desempeñas tu trabajo principal.
  • Compartir experiencia con desarrolladores dentro de nuestra comunidad.
  • Ingresos promedio de $700 a $900 USD al mes por una colaboración flexible de medio tiempo, con gran impacto ¡y un equipo increíble!
  • Experiencia de colaboración intercultural en mentoría y realización de webinarios.
  • Cooperación remota con un horario conveniente tanto para ti como para el equipo. No nos enfocamos en la microgestión.
  • Una oficina digital cómoda. Utilizamos herramientas digitales modernas — Miro, Notion, Zoom, etc. — para que el trabajo conjunto sea fluido.
  • Un equipo diverso y unido distribuido entre EE.UU. y América Latina.
Seniority level
  • Not Applicable
Employment type
  • Part-time
Job function
  • Education and Training
  • E-Learning Providers

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Part-Time Data Analytics Tutor

BlueSnap, Inc

Hoy

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

TripleTen es un servicio que empodera a las personas, sin importar su experiencia previa, para embarcarse en el emocionante y desafiante camino de dominar profesiones tecnológicas. Nuestros bootcamps se enfocan en capacitar a los estudiantes en ingeniería de software, ciencia de datos, análisis de business intelligence y ingeniería de aseguramiento de calidad (QA), de una manera accesible y viable, llevándolos finalmente a prosperar en una nueva carrera.

Nuestra misión es garantizar que cada estudiante tenga la oportunidad de dominar con éxito una nueva profesión, encontrar su propósito y convertirse en un miembro valioso de la industria tecnológica.

Ten en cuenta que, después de postularte para este puesto, deberás completar una tarea de prueba tras tu llamada introductoria en línea.

¿Cuál es nuestro objetivo?

Aprender programación no es fácil, y la mayoría de nosotros lo hicimos de la manera difícil. Nuestro objetivo es ayudar a los estudiantes a evitar errores comunes, acelerar su proceso de aprendizaje y ayudarlos a conseguir empleo. Estamos buscando un científico de datos con experiencia para ser mentor de nuestros estudiantes y ayudarlos a convertirse en desarrolladores profesionales.

Liderarás una cohorte de estudiantes a través de nuestros programas de Análisis de Datos , compartiendo tu experiencia e inspirándolos con tus conocimientos del sector. Ayudarás a los estudiantes respondiendo sus preguntas y brindándoles consejos prácticos en las siguientes formas:

  • Webinarios en video (una o dos veces por semana).
  • Chats con los estudiantes.
  • Sesiones de live coding (1 sesión en vivo cada dos semanas).
  • Moderación y asesoramiento a colegas del equipo de experiencia estudiantil.

Y lo más importante: ¡serás una persona a la que tus estudiantes admirarán!

  • +3 años de experiencia trabajando como analista de datos.
  • Conocimiento de Python a nivel profesional resolviendo problemas de negocio (idealmente con al menos 3 años de experiencia).
  • +1 año de experiencia trabajando con SQL en problemas reales, visualizaciones, estadística y probabilidad, y Excel.
  • Experiencia con bibliotecas de Data Wrangling como Pandas, NumPy, Matplotlib, etc.
  • Disponibilidad para dedicar entre 10 y 15 horas por semana.
  • Inglés intermedio, español avanzado.
  • Capacitación en técnicas de mentoría y comunicación.
  • Capacidad para enseñar a los estudiantes mientras desempeñas tu trabajo principal.
  • Compartir experiencia con desarrolladares dentro de nuestra comunidad.
  • Ingresos promedio de $700 a $900 USD al mes por una colaboración flexible de medio tiempo, con gran impacto ¡y un equipo increíble!
  • Experiencia de colaboración intercultural en mentoría y realización de webinarios.
  • Cooperación remota con un horario conveniente tanto para ti como para el equipo. No nos enfocamos en la microgestión.
  • Una oficina digital cómoda. Utilizamos herramientas digitales modernas — Miro, Notion, Zoom, etc. — para que el trabajo conjunto sea fluido.
  • Un equipo diverso y unido distribuido entre EE.UU. y América Latina.
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Customer Engineer, Data Analytics, Google Cloud

Santiago, Region Metropolitana (RM) Google

Publicado hace 4 días

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Descripción Del Trabajo

Please submit your resume in English - we can only consider applications submitted in this language.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
**Preferred qualifications:**
+ Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
+ Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience in customer requirements with the ability to break down requirements and design technical architectures.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, dynamics and customer buying behavior.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities:**
+ Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data life-cycle.
+ Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and (RFI) responses.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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Delivery Consultant - Data Analytics, Professional Services

Santiago, Region Metropolitana (RM) Amazon Web Services (AWS)

Publicado hace 17 días

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Delivery Consultant - Data Analytics, Professional Services

Join to apply for the Delivery Consultant - Data Analytics, Professional Services role at Amazon Web Services (AWS)

Delivery Consultant - Data Analytics, Professional Services

1 day ago Be among the first 25 applicants

Join to apply for the Delivery Consultant - Data Analytics, Professional Services role at Amazon Web Services (AWS)

Description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant - Data Analytics you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Key job responsibilities

As an experienced technology professional, you will be responsible for:

  • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  • Providing technical guidance and troubleshooting support throughout project delivery
  • Collaborating with stakeholders to gather requirements and propose effective migration strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About The Team

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

  • 3+ years of experience in cloud architecture and implementation, preferably with AWS
  • 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
  • 3+ Experience delivering cloud projects or cloud based solutions
  • Able to communicate effectively in English, within technical and business settings.
  • Bachelor's degree in Business, Computer Science, or related field

Preferred Qualifications

  • 3+ years of external or internal customer facing, complex and large scale project management experience
  • Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
  • Experience with automation and scripting (e.g., Terraform, Python)
  • Expertise in performance optimization and cost management for cloud environments
  • Ability to manage multiple projects and priorities in a fast-paced environment
  • AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Servicios Amazon Web Services Chile Limitada

Job ID: A

Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Consulting, Information Technology, and Engineering
  • Industries IT Services and IT Consulting

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Delivery Consultant - Data Analytics, Professional Services

Santiago, Region Metropolitana (RM) Amazon

Publicado hace 20 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant - Data Analytics you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.
As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years of experience in cloud architecture and implementation, preferably with AWS
- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 3+ Experience delivering cloud projects or cloud based solutions
- Able to communicate effectively in English, within technical and business settings.
- Bachelor's degree in Business, Computer Science, or related field
Preferred Qualifications
- 3+ years of external or internal customer facing, complex and large scale project management experience
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Lo sentimos, este trabajo no está disponible en su región

Customer Engineer, Data Analytics, Google Cloud

Santiago, Region Metropolitana (RM) Google

Publicado hace 22 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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Please submit your resume in English - we can only consider applications submitted in this language.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

Preferred qualifications:

  • Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
  • Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
  • Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
  • Experience in customer requirements with the ability to break down requirements and design technical architectures.
  • Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, dynamics and customer buying behavior.

About The Job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data life-cycle.
  • Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and (RFI) responses.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology and Engineering
  • Industries Information Services and Technology, Information and Internet

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