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Open nowPosted 143 days ago

MG Senior Data Engineer

1dea17 open roles

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Your applicationOpen nowMG Senior Data Engineer1dea

  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 1dea'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.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 143 days ago

The posting

Cześć!

Dla naszego klienta z segmentu premium poszukujemy doświadczonego Senior Data Engineera, który wesprze rozwój nowoczesnej platformy danych w środowisku Google Cloud Platform. Osoba na tym stanowisku będzie odpowiedzialna za projektowanie, rozwój i optymalizację procesów przetwarzania danych oraz współtworzenie architektury danych wspierającej raportowanie, analitykę i inicjatywy związane z AI..

Zakres obowiązków

  • Projektowanie, rozwój i utrzymanie skalowalnych pipeline'ów danych.
  • Tworzenie oraz optymalizacja procesów ETL/ELT.
  • Modelowanie danych i rozwój warstwy analitycznej z wykorzystaniem dbt.
  • Współtworzenie architektury danych w środowisku Google Cloud Platform.
  • Integracja danych z wielu źródeł oraz zapewnienie ich jakości i spójności.
  • Współpraca z analitykami, zespołami BI oraz interesariuszami biznesowymi.
  • Wsparcie inicjatyw związanych z analityką zaawansowaną i rozwiązaniami AI.
  • Identyfikacja oraz wdrażanie usprawnień w obszarze przetwarzania i przechowywania danych.

Wymagania obowiązkowe

  • Minimum kilkuletnie doświadczenie na stanowisku Data Engineer lub podobnym.
  • Bardzo dobra znajomość Python.
  • Bardzo dobra znajomość SQL.
  • Praktyczne doświadczenie z dbt.
  • Doświadczenie w projektowaniu i rozwijaniu procesów ETL/ELT.
  • Znajomość relacyjnych i nierelacyjnych baz danych.
  • Doświadczenie w pracy z rozwiązaniami Google Cloud Platform.
  • Znajomość zagadnień związanych z hurtowniami danych i modelowaniem danych.
  • Komunikatywna znajomość języka angielskiego.

Mile widziane

  • Znajomość Go (Golang).
  • Doświadczenie z Airflow lub Dagster.
  • Doświadczenie z Fivetran lub Airbyte.
  • Znajomość Apache Spark, Hadoop, Hive lub pokrewnych technologii Big Data.
  • Doświadczenie z Vertex AI lub Dataiku.
  • Znajomość Power BI.

Praca głównie zdalna, z dojazdami do Krakowa - 1-2 razy w miesiącu.

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against 1dea'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 1dea'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

    1dea'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

More applications. More interviews.

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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