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Open nowPosted 28 days ago

(522910642418)-(522910636226)-GFT_OUT; Data Engineer (Data Fabric) do HSBC

RITS129 open roles

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Your applicationOpen now(522910642418)-(522910636226)-GFT_OUT; Data Engineer (Data Fabric) do HSBCRITS

  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 RITS'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market. RITS postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 28 days ago

RITS median: 1 days open

The posting

RITS Group to firma informatyczna, która oferuje najwyższej jakości usługi programistyczne zarówno dla rynku polskiego, jak i międzynarodowego. Jesteśmy dumni, że należymy do grona najszybciej rozwijających się spółek technologicznych. Naszym priorytetem jest jakość oraz innowacyjność dostarczanych rozwiązań, a nasza kultura organizacyjna opiera się na zaufaniu, współpracy i ciągłym doskonaleniu.

📍 Kraków | hybrydowo: 6–8 dni/miesiąc w biurze 💰 160 PLN/h netto + VAT (B2B), stawka do negocjacji ✈️ Osobom spoza Krakowa zwracamy koszty dojazdu do biura.

Poszukujemy Data Engineera, który dołączy do zespołu rozwijającego nowoczesne rozwiązania data engineering. Będziesz projektować i rozwijać skalowalne pipeline’y danych, integrować systemy oraz pracować z rozwiązaniami cloud i data fabric.

Technologie:

Scala · Python · Java · SQL · Apache Airflow · Apache Spark · REST API · Git · CI/CD · GCP · BigQuery · Data Fabric

  • Doświadczenie w Data Engineering / Software Engineering.
  • Bardzo dobra znajomość Scala, Python, Java i SQL.
  • Doświadczenie w budowie data pipelines i integracji systemów.
  • Praktyczna znajomość Apache Airflow.
  • Znajomość REST API.
  • Doświadczenie z platformami cloud i cloud-native engineering.
  • Znajomość Git, automated testing i CI/CD.
  • Umiejętność rozwiązywania złożonych problemów technicznych.

Mile widziane

  • GCP, szczególnie BigQuery, Cloud Storage, Pub/Sub, Dataflow lub Dataproc.
  • Apache Spark.
  • Data fabric, data catalogues, metadata i data lineage.
  • Konteneryzacja, orkiestracja lub Infrastructure as Code.
  • Doświadczenie w środowisku Agile / DevOps.
  • Znajomość zagadnień security i data governance.
  • Projektowanie, budowa i utrzymanie data pipelines oraz frameworków.
  • Rozwój rozwiązań w Scala, Python i Java.
  • Praca z Apache Airflow – DAG-i, scheduling, monitoring i troubleshooting.
  • Integracja platform, systemów i REST API.
  • Praca z rozwiązaniami cloud oraz udział w rozwoju architektury data fabric.
  • Dbanie o jakość, wydajność i niezawodność rozwiązań.
  • Stosowanie dobrych praktyk: Git, testing, code review, CI/CD.
  • Współpraca z Data Architectami, Software Engineerami, zespołami platformowymi
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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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