Databricks Data Engineer @ Experis Polska
2 weeks ago
Wymagania:
- 4 lata lub więcej doświadczenia w projektach Big Data lub Cloud w obszarach przetwarzania i wizualizacji dużych i/lub nieustrukturyzowanych zbiorów danych (w tym co najmniej rok praktycznego doświadczenia z Databricks)
- Praktyczna znajomość co najmniej jednej publicznej platformy chmurowej w obszarach Storage, Compute (+Serverless), Networking i DevOps, wspierana doświadczeniem w pracy komercyjnej
- Przynajmniej podstawowa znajomość SQL oraz jednego z języków programowania: Python/ Scala/ Java/ Bash
- Bardzo dobra znajomość języka angielskiego
Lokalizacja: hybryda (2 dni z biura), Wrocław, Poznań, Gdańsk, Warszawa
Używane technologie:
- Databricks
- Python/PySpark
- Cloud: Azure, AWS, GCP
- SQL
Warunki:
- Umowa o pracę (+ulgi na prawa autorskie)
- Bardzo bogaty pakiet szkoleń zawodowych i językowych
- Szkolenia cloud (firma jest platynowym partnerem AWS, Azure, GCP)
- Opieka medyczna, ubezpieczenie, MultiSport
- Elastyczny czas pracy
- Bezpłatny parking i boksy rowerowe
Oferta dotyczy pracy stałej.
Opis Firmy
Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.
Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie.
,[Projektowanie i wdrażanie rozwiązań do przetwarzania dużych i nieustrukturyzowanych zbiorów danych, w tym architektury Data Lake i Streaming – implementowanie, optymalizowanie i testowanie nowoczesnych rozwiązań DWH/ Big Data przy użyciu platformy Databricks w środowisku CI/CD , Poprawa efektywności przetwarzania danych oraz zarządzanie migracjami z infrastruktury lokalnej do publicznych platform chmurowych , Tworzenie aplikacji AI, ML, Data, a także rozwiązań Generative AI ] Requirements: Databricks, Data Lake, DWH, Big Data, AI, Python, PySpark, Azure, AWS, GCP, SQL, Storage, Networking, DevOps, Scala, Java, Bash, Cloud-
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