Senior Data Engineer @ Decerto

3 days ago


Remote Warsaw Gdańsk Wrocław Kielce, Czech Republic Decerto Full time
Aplikuj, jeśli:
  • Posiadasz min. 5 letnie doświadczenie jako Data Engineer lub w podobnej roli.
  • Swobodnie komunikujesz się w języku angielskim (preferowany poziom C1).
  • Masz doświadczenie z data pipelines, projektowaniu i wdrażaniu skalowalnych potoków danych ETL/ELT.
  • Masz doświadczenie z Azure Databricks, Spark (SQL, PySpark) i doświadczenie w budowaniu przepływów pracy i automatyzacji przy użyciu Databricks Workflows.
  • Posiadasz praktyczne doświadczenie z usługami Azure jak Azure Data Lake, Azure Blob Storage i Azure Synapse.
  • Znajomość zarządzania ładem i bezpieczeństwem danych przy użyciu Databricks Unity Catalog.
Twoja rola i projekt: PROJEKT ZEWNĘTRZNY

Klient jest globalną firmą ubezpieczeniową oferującą m.in. ubezpieczenia majątkowe i osobowe. Posiada oddziały na całym świecie i ponad 50-letnie doświadczenie w underwritingu oraz zarządzaniu kapitałem i ryzykiem.

Poszukujemy Data Engineer'a z doświadczeniem w środowisku cloudowym z naciskiem na Azure i DataBricks.

Wiodące technologie i narzędzia: 

ETL data pipelines w DataBricks, Spark (SQL, PySpark), Azure Services; Azure Data Lake, Azure Blob Storage, Azure Synapse, Databricks Unity Catalog.

Czeka na Ciebie:
  • Praca zdalna, okazjonalne przyjazdy do biura w Warszawie.
  • Budżet rozwojowy 2000,- pln netto / rok.
  • Dofinansowanie certyfikatów.
  • Doświadczony zespół z dużym know-how.
  • Dofinansowanie do Opieki medycznej, Karty sportowej, Ubezpieczenia na życie.
  • Wewnętrzne szkolenia techniczne (i nie tylko).
  • Płaska struktura, wpływ na działania firmy.
  • Innowacyjne programy wyjazdów integracyjnych.

Kontaktujemy się z każdym Kandydatem i zawsze dajemy feedback

Poznaj nas i dołącz do #DecertoTeam

,[Projektowanie i wdrażanie end-to-end data pipelines w Azure DataBricks, pozyskiwanie danych z różnych źródeł, publikacje danych w Data Azure Lake., Tworzenie kodu w Spark SQL i PySpark do transformacji danych., Automatyzacja pipeline orchestration z użyciem Databricks Workflows i integracja z zewnętrznymi narzędziami (np. Apache Airflow, Azure Data Factory)., Wykorzystanie funkcji Databricks, takich jak Delta Lake, do zarządzania i śledzenia zmian w danych., Tworzenie skalowalnych procesów pozyskiwania danych w celu obsługi danych z różnych źródeł (API, bazy danych, systemy plików)., Wdrażanie i utrzymywanie zasad zarządzania danymi przy użyciu Unity Catalog, zapewniając odpowiednią organizację, kontrolę dostępu i zarządzanie metadanymi w zasobach danych.] Requirements: Databricks, Spark, SQL, Azure Data Lake, Azure Blob Storage, Azure Synapse, Databricks Unity Catalog, Databricks Workflows, Azure Data Factory Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Free coffee, Bike parking, Shower, Free parking, In-house trainings, In-house hack days, Modern office, Startup atmosphere, No dress code.

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