Software Engineer, Google Cloud Dataproc

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Job Description

Minimum qualifications:

  • 10 years of experience in managing internal infrastructure, developer tools or distributed computing infrastructure.
  • 8 years of experience with one or more general purpose programming languages (e.g., Java, C/C++ or Python).

Preferred qualifications:

  • Experience in data and information management as it relates to Big Data trends and issues within the business.
  • Experience using and/or managing databases using MapReduce, Hadoop, Spark, Flume, Hive, Impala, Spark SQL, BigQuery.
  • Passion for learning new technical tools (e.g., programming, data science techniques, etc.).

About the job

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.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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.


  • Define product differentiating features in an ambiguous problem space.
  • Build high-impact customer-facing features which make Google Cloud Dataproc the best place to run Hadoop and Spark in the cloud.
  • Engage with Google Cloud Platform (GCP) infrastructure teams to deliver the latest GCP features to Dataproc customers.
  • Make Google Cloud Dataproc the best product for data science workloads.

Company Info.


Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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