Palo Alto Networks Data Engineer

1 week ago


Santa Clara, California, United States Palo Alto Networks Full time
Job Overview:

We are seeking a highly skilled Big Data Java Engineer to join our team at Palo Alto Networks. As a key member of our data processing team, you will be responsible for designing, developing, and implementing query, reporting, and analytics components of our Application Framework.

Actively participate in the design, evolution, and implementation of connectivity tools that enable the ability to search and retrieve information from the Framework.

Help design and implement a reporting backend for efficient execution of queries on petabyte-scale data stores using innovative techniques.

Key to success for this role is strong SQL and NoSQL skills.


Responsibilities:

As a Big Data Java Engineer, you will be an integral member of our data processing team with a focus on efficient query execution on a large multi-tenant data store.

Develop libraries and tools that allow various external tools and applications to connect to the data store and run queries using standardized open protocols like JDBC as well as proprietary REST APIs.

Communicate and work with Product management, operations, and quality assurance groups to achieve ease of use and adoption, quality, diagnosability, and operability of these components.

Suggest and implement improvements to development tools and processes.


Qualifications:

BS in Computer Science/Engineering, or equivalent experience.

5+ years of experience in design and implementation in a data processing environment with large volumes of data.

Some systems design experience that involves designing a solution that involves multiple inter-operating components.

Good understanding of SQL and NoSQL databases, to some degree their internals and database connectivity standards like JDBC.

Hands-on with Java, object modeling, and generally aware of trends and techniques in the Java world. Some exposure to Scala may be desirable but not a must.

Experience working with Hadoop and/or Elasticsearch ecosystems and Cloud-based deployments is a plus.

Self-driven with passion for innovation, with a can-do attitude on problem-solving, quality, and ability to execute.

Good interpersonal and teamwork skills.


For more information, please visit #LI-PALSAAS



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