Data Analyst @ Mindbox S.A.

2 months ago


Kraków, Czech Republic Mindbox S.A. Full time

Wymagania:

  • Biegłość w pracy z narzędziami analizy danych, takimi jak Python i SQL.  
  • Doświadczenie w pracy z dużymi zbiorami danych oraz frameworkami data science, w tym znajomość PySpark i Spark SQL będzie dużym atutem. 
  • Doświadczenie w tworzeniu pipeline'ów danych i analizie danych, najlepiej na platformie Azure Databricks
  • Umiejętności wizualizacji i prezentacji danych, z wykorzystaniem odpowiednich narzędzi w zależności od przypadku użycia. 
  • Doświadczenie w pracy w zespołach Agile

Lokalizacja: Kraków

Praca zdalna: hybryda (zdalna + wizyty w biurze)

Czas współpracy: długoterminowa

Forma współpracy: kontrakt, b2b z Mindbox

Stawka: 180-200 pln/h net+vat

Opis stanowiska Rola znajduje się w zespole Global Defence w obszarze Cybersecurity, który koncentruje się na zapewnieniu bezpieczeństwa działalności firmy poprzez czujność, innowacyjność, niezawodność, inteligencję i działanie zgodne z misją.

Rola jest częścią zespołu Data & Automation, składającego się z inżynierów danych, analityków danych, inżynierów uczenia maszynowego i programistów aplikacji, którzy wspólnie dostarczają rozwiązania techniczne. Główną platformą do pracy z danymi jest Azure Databricks.

Jeśli powyższa rola odpowiada Twojemu doświadczeniu i zainteresowaniu –

zapraszam do aplikowania.

Z chęcią skontaktujemy się by porozmawiać o szczegółach i zaprosić do procesu rekrutacyjnego

,[Analiza dużych, złożonych i dynamicznych zbiorów danych w celu uzyskania wartościowych wniosków, identyfikacja problemów z jakością danych oraz projektowanie logiki zoptymalizowanej pod kątem tych danych. , Tworzenie wydajnych, wielokrotnego użytku i łatwych w utrzymaniu skryptów do zbierania, czyszczenia i walidacji danych z wielu źródeł, zasilających procesy automatyzacji, analizy i raportowania. , Wizualizacja wyników analizy danych za pomocą wykresów, dashboardów i innych formatów dostosowanych do potrzeb odbiorców technicznych i nietechnicznych. , Współpraca z interesariuszami w celu zrozumienia danych i ich kontekstu biznesowego oraz dopasowania dostarczanych rozwiązań do wymagań biznesowych. , Dokumentacja procesów związanych z danymi, metodologii i uzyskanych wyników. , Stosowanie dobrych praktyk w zakresie tworzenia oprogramowania, w tym podejścia DevOps. , Praca zgodna z metodologiami Agile, w tym test-driven development (TDD). ] Requirements: Azure Databricks, Test-driven development, Python, SQL, Data science, Spark SQL, PySpark, Cybersecurity, DevOps Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Playroom, No dress code, Modern office.

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