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Member Technical Staff - Hive






Bangalore, IN


Qubole, the leading cloud-agnostic, big data-as-a-service provider, is passionate about making data-driven insights easily accessible to anyone. Qubole delivers the industry’s first autonomous data platform. The cloud-based data platform, Qubole Data Service (QDS), removes the burden of maintaining infrastructure of multiple big data processing engines, and enables customers to focus on their data. Qubole customers process nearly an exabyte of data every month. Qubole investors include Charles River, Institutional Venture Partners, Lightspeed, Norwest, Harmony and Singtel Innov8. 
As a senior member of a growing team in Qubole - you will have the opportunity to work on a variety of open source and proprietary technologies, participate in building next generation cloud-native data processing systems and work closely with customers in furthering their use cases. The future in these areas is yet to be invented and we at Qubole look forward to be an important part of it!

What you'll be doing

      • Work on on all components of Qubole Hive to provide a scalable and reliable platform for processing petabytes of data on 100s of thousands of machines
      • Be a part of the team that designs, implements and owns the Qubole Hive service
      • Have exceptional problem solving skills
      • Work with product managers and customers to understand requirements
      • Have experience in networking, storage, operating systems or large scale distributed systems
      • Write strong production quality code
      • Talk about your work in blogs and conferences

Required experiences and skills

    • Strong fundamentals in data structures and algorithms
    • Strong understanding of computer systems and networking
    • Expertise in one of Java/Scala/C++
    • Experience in building and debugging complex systems
    • Minimum 2 years of work experience

Having these will set you apart as a candidate

    • Contributed to open source projects like Apache Hadoop, Apache Hive or Apache Spark
    • Good understanding of query processing and database internals
    • BS or MS in Computer Science or related fields

Apply for the job

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