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    Staff IT Data Engineer - Santa Clara, United States - Palo Alto Networks

    Palo Alto Networks
    Palo Alto Networks Santa Clara, United States

    1 week ago

    Palo Alto Networks background
    Full time
    Description
    Job Description

    Your Career

    In this role, you will maintain the data lake for our Customers, construct data ingestion pipelines, and implement ETL processes to meet our business requirements. Collaboration with the Analytics team will be a key aspect of this role, as you will be working together to support the generation of various analytics outputs. These outputs will enable the business to efficiently utilize the data through interactive and insightful dashboards.

    This position requires a candidate who possesses strong technical skills, a keen eye for detail, and the ability to effectively collaborate with cross-functional teams to meet our organization's data and analytics objectives.

    Your Impact

    • As a Staff IT Data Engineer, you will be an integral member of our Artificial Intelligence & Analytics team responsible for design and development
    • Responsible for making an impact by providing various metrics for multiple business function such us commissions, HR and others
    • Build data profiling and ETL jobs using heterogeneous sources
    • Help build the technical foundations for cloud analytics
    • Be constantly challenged by tough engineering and design tasks
    • Supports Big Data and batch/real time analytical solutions leveraging transformational technologies
    • Partner with data analysts, product owners and data scientists, to better understand requirements, finding bottlenecks, resolutions, etc.
    • Mentor junior data engineers
    • Have basic level of expertise in the areas of data governance, data quality, MDM, information management, metadata management and information exchange
    • You will have the ability to research and assess open source technologies and components to recommend and integrate into the design and implementation
    • You will also have opportunity to work closely with our data science team and work on various business critical predictive use-cases
    Qualifications

    Your Experience

    • 7+ year of experience with the Hadoop ecosystem and Big Data technologies
    • Strong knowledge of JAVA/Python, SQL (MySQL, Big Query), data structure and algorithms is must
    • Experience with Data Engineering in multi cloud environments (AWS, GCP, Azure. etc..)
    • Basic understanding of SPARK programming and prior experience Big data system
    • Experience in products like Apache Kafka, Confluent Centralized Schema Registry is a plus
    • Understanding of data governance and data profiling concepts is a plus
    • Experience in working with REST API services is a plus
    • Ability to work in a fast-paced environment and manage multiple simultaneous priorities
    • Effective problem solving and analytical skills
    Additional Information

    The Team

    Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.

    We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

    Our Commitment

    We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.

    We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at

    Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

    All your information will be kept confidential according to EEO guidelines.

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