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Senior Software Engineer, BigLake Federation

Google

⚲ Warszawa, Śródmieście

30 333–31 167 zł brutto / mies.

Wymagania

  • Apache Spark
  • SAP
  • Salesforce

Opis stanowiska

Nasze wymagania:
Bachelor’s degree or equivalent practical experience.
5 years of experience in software development.

Mile widziane:
Experience in open source technologies and Apache Spark.
Experience working with partners like SAP, Salesforce, or cloud providers.
Experience with distributed computing, big data analytics, cloud computing, multi-tenant cloud, or AI.

O projekcie:
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will join a team responsible for all data and metadata federation aspects and expand BigLake to other clouds, hyperscalers like AWS and Azure, partners like SAP and Salesforce.
You will be responsible for creating a compelling cross cloud data analytics product working with senior SWE and PM leads. You will influence the roadmap, work with customers and partners, and help with building a strong culture of operational excellence within this new team.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Zakres obowiązków:
Be responsible for all data and metadata federation aspects (10x growth opportunity) and expand BigLake to other clouds, hyperscalers, and partners like SAP and Salesforce.
Create a compelling cross cloud data analytics product, working with senior SWE and PM leads.
Influence the roadmap, work with customers and partners, and help with building a strong culture of operational excellence within this new team.

🔍 Dekoder Ogłoszenia

🟡
Bachelor’s degree or equivalent practical experience.
Formalne wykształcenie jest preferowane, ale doświadczenie zawodowe może je zastąpić, jeśli jest wystarczająco obszerne i udokumentowane.
🔴
We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Oczekuje się od Ciebie elastyczności, umiejętności kierowania innymi i chęci do rozwiązywania problemów w różnych obszarach technologii, nawet jeśli nie są one Twoją specjalnością.
🟢
You will anticipate our customer needs and be empowered to act like an owner, take action and innovate.
Masz być proaktywny, samodzielnie identyfikować problemy i proponować rozwiązania, traktując projekt jak własny.
🔴
with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
Możesz spodziewać się zmian w zespole lub projekcie, co może oznaczać konieczność adaptacji do nowych technologii lub celów biznesowych.
🟡
expand BigLake to other clouds, hyperscalers like AWS and Azure, p
Projekt obejmuje integrację z konkurencyjnymi platformami chmurowymi, co może wymagać pracy z ich specyficznymi technologiami i API.