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Engineering Manager (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. 
You will join the database group that works on Apache Hive, the inventors of which are the founders of Qubole. The team works on the internals of Hive, Tez, LLAP, etc. As a member of the Qubole engineering leadership team, you will be responsible for directly interacting with customers, working closely with product management (PM) leads, and shipping product functionality. Examples of this include building and enhancing open source software, designing services for faster command processing, developing smart solutions for cost-efficient systems running on and building a security model for the whole application. You will also be heavily involved in the operational aspects of the software.

What you will do

    • TechnicalLeadership: Drive high-level architectural decisions and designs based on business priorities and requirements
    • People Management: Coach and mentor engineers and leads at various levels. Build a high-performance team with character and good work ethic
    • Project Management: Effectively handle multiple initiatives and deliver multiple releases on schedule with highest quality standards. Work closely with engineering and product leadership to prioritize these initiatives to deliver the greatest value to the business.

Must Have

    • Strong problem-solving skills are a must to earn the team’s respect and to lead from the front.
    • Expected to be capable of sitting down with engineers to constructively review designs and debug live production issues.
    • Experience in leading technical teams in systems/databases or large-scale distributed/infrastructure systems in production. 
    • Degree in Computer Science or related fields.
    • Good understanding of software development processes with geographically distributed development teams. 
    • Extensive hands-on experience in one or more of Java, Scala, C/C++, Python.
    •  Experience managing a team of strong engineers - including coaching & mentoring individuals to grow in their career. 
    • Capable of handling ambiguous business requirements with excellent prioritization, time management abilities and focus on execution.
    • Strong verbal/written communication skills. 

Nice to have

    • Experience with big data technologies like Spark, Hadoop, Hive, Tez, etc. 
    • Hands-on experience with building services with one of the popular cloud providers (AWS, Azure, GCP).
    • Familiarity with Compute/Storage services of any of the following clouds: AWS, Azure, GCP, Oracle, Openstack.

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