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Senior Business Intelligence Engineer






Santa Clara, CA, US


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. 
Qubole is committed to building a best-practice business intelligence platform and processes, pushing the limits of the current big-data business intelligence technology. As mentioned above, Qubole is already in the best spot for doing so, leading a service that is in the intersection of big data and cloud computing. Critical features of such BI platform and engineering include: timely data transformation from a variety of sources, superior information integrity framework, and quick turnaround on delivering BI reporting and analytics.

What you’ll do

    • Provide and lead BI reporting, analytics, and support to all company functions.
    • Evangelize and own a best-practices BI engineering and analytics to meet the stated goals, and prepare the groundwork for leading a BI Decision Support team in the future.
    • Employ Qubole products in providing internal analytics to the maximum extent possible and help improve the products by providing valuable feedback to Product and Engineering.
    • Augment the rest of the BI team, helping build a best-practices BI platform and ETL processes.
    • Place a strong focus on information integrity and help create a platform framework for formulating and enforcing data integrity rules.

Basic qualifications

    • Excellent understanding of relational theory and strong practice with SQL and data modeling
    • Strong mathematical, quantitative, and programing skills
    • Requirements gathering and translating to what-if questions about data
    • Good communication skills
    • Go-getter attitude

Preferred qualifications

    • Full-stack application developer
    • Graduate degree in Computer Science

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