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Open nowPosted 6 hours ago

Data Platform Technical Support Engineer (AWS)

knowmad mood353 open roles

Where
Madrid, Spain
Work mode
Remote
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Your applicationOpen nowData Platform Technical Support Engineer (AWS)knowmad mood · Madrid, Spain

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on knowmad mood's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. knowmad mood postings stay open a median of 7 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: posted 6 hours ago

knowmad mood median: 7 days open

The posting

We are knowmad mood!

Somos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Nacimos para provocar un cambio real a través de la innovación y el desarrollo sostenible, con la misión de aportar valor a los clientes e impulsar nuestro talento.

Formado por más de 3.000 personas creativas, digitales e innovadoras conectadas a un propósito y capaces de generar conexiones con personas de todo el mundo. Un equipo responsable, flexible y con alta capacidad de adaptación a las necesidades de nuestros clientes y del mercado, a la vez que proporciona valor, visión, creatividad, expertise, profesionalidad y pasión por la tecnología en cada proyecto.

Los valores que marcan nuestro rumbo y nos guían hacia la excelencia son la colaboración, la innovación, el compromiso, la diversión y la confianza.

¿Cuáles son los requisitos?

  • Nivel de inglés C1, tanto hablado como escrito.
  • Experiencia sólida en AWS Cloud, especialmente con: S3, IAM, AWS Glue, Lake Formation, Athena, CloudWatch / CloudTrail, Lambda, EventBridge
  • Buenos conocimientos de Python y SQL.
  • Experiencia con Snowflake y Airflow / AWS MWAA.
  • Conocimiento de tecnologías Data Lake como Apache Iceberg y Apache Hudi.
  • Comprensión de procesos ETL/ELT, pipelines de datos, APIs y CI/CD.
  • Capacidad analítica para la resolución de incidencias de extremo a extremo en entornos productivos.

¿Cuál será tu misión?

  • Proporcionar soporte técnico de nivel 2 (L2) para los servicios de la plataforma de datos.
  • Investigar incidencias relacionadas con AWS, Snowflake, Airflow, DataHub y EDGC.
  • Resolver problemas vinculados a permisos, accesos a datos, pipelines, integraciones e infraestructura cloud.
  • Analizar logs, métricas de monitorización y configuraciones para identificar causas raíz.
  • Colaborar con equipos de Ingeniería de Plataforma, Producto y soporte L3 en la resolución de incidencias complejas o recurrentes.
  • Participar en iniciativas de documentación, automatización y mejora continua

Y con nosotros podrás disfrutar de:

✅Contrato Indefinido

✅Remoto.

✅Formación interna y acceso a certificaciones. Consulta nuestro calendario aquí:

https://www.knowmadmood.com/es/talento/formacion

✅Plan de retribución flexible (seguro médico, transporte, tickets guardería, tickets restaurante)

✅Embajador de nuestra marca, a través de nuestro plan amigo

¡Recomienda a tus amigos y llévate un extra!

✅¡Eventos, meetups, techdays, charlas...y mucho más!

✅ 26 días de descanso (22 días vacaciones, 2 días de libre disposición y 24 y 31 diciembre festivos por defecto)

✅ Horario: Flexible, 8 horas diarias durante todo el año

Para estar al corriente de nuestras novedades síguenos aquí -> knowmad mood

En knowmad mood nos comprometemos con la igualdad de oportunidades y el respeto a la diversidad. Aplicamos nuestro Plan de Igualdad y el principio de no discriminación en todos nuestros procesos de selección.

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against knowmad mood's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on knowmad mood's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    knowmad mood's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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