Staff Data Engineer Santa Clara, California, United States
Company: Palo Alto Networks, Inc.
Location: Santa Clara
Posted on: November 6, 2024
Job Description:
Our MissionAt Palo Alto Networks everything starts and ends with
our mission:Being the cybersecurity partner of choice, protecting
our digital way of life. Our vision is a world where each day is
safer and more secure than the one before. We are a company built
on the foundation of challenging and disrupting the way things are
done, and we're looking for innovators who are as committed to
shaping the future of cybersecurity as we are.Who We AreWe take our
mission of protecting the digital way of life seriously. We are
relentless in protecting our customers and we believe that the
unique ideas of every member of our team contribute to our
collective success. Our values were crowdsourced by employees and
are brought to life through each of us every day - from disruptive
innovation and collaboration, to execution. From showing up for
each other with integrity to creating an environment where we all
feel included.As a member of our team, you will be shaping the
future of cybersecurity. We work fast, value ongoing learning, and
we respect each employee as a unique individual. Knowing we all
have different needs, our development and personal wellbeing
programs are designed to give you choice in how you are supported.
This includes our FLEXBenefits wellbeing spending account with over
1,000 eligible items selected by employees, our mental and
financial health resources, and our personalized learning
opportunities - just to name a few!Your CareerAs part of the role,
you will be responsible for being a thought leader in designing,
coding and stitching scalable datasets to establish certified
datasets as an enterprise-grade asset. Participate in problem
statement discovery and propose state-of-the-art solutions that are
built to last including AI training. This role is a key enabler of
building the future of AI and Analytics data foundation to help in
Palo Alto Networks growth.Your Impact
- As a Data Engineer, you'll play a crucial role in our Data &
Analytics team, tasked with crafting and implementing integrations
using state-of-the-art Cloud technologies.
- Ability to translate and assess business problem statements
into data requirements and foundation and deliver beyond the stated
ask.
- Embrace Disruption - Take bold risks in delivering real-time
data and insights to executives through innovative methods.
- Foster Collaboration with "Work together, win together" -
ability to engage with cross-functional teams to deliver key data
and insights, fostering a culture of teamwork and shared
success.
- Focus on Execution - Execute "Strive tirelessly for simplicity
and usability" - Dedicate efforts to creating data models that
prioritize simplicity and usability, ensuring scalability for
future needs.
- Drive Business Value - Develop certified and scalable data
models that offer the highest business value, enabling actionable
insights.
- Conduct In-depth Analysis - Utilize deep data analysis
techniques to uncover actionable insights from data models.
- Have basic level of expertise in the areas of data governance,
data quality, MDM, information management, metadata management, and
information exchange.
- Embrace Challenges - Tackle complex data engineering and design
tasks that push your skills to new heights.
- As a team player, work closely with data analysts, product
owners, and data scientists to understand requirements and overcome
challenges collaboratively.
- Embrace Learning - Stay agile and adept at adopting new data
engineering technologies and methodologies.Your Experience
- 10+ years of experience within the data and analytics
domain.
- Expert level in writing optimized SQL code.
- Advanced proficiency in Python for constructing integrations
within GCP DataProc clusters.
- Familiarity in the B2B space and customer analytics domain and
built data models e.g. Contracts & subscriptions, entitlements,
contact enrichment, GDPR processes, bookings, pipeline, etc.
- Able to explain the business process and how analytics
supported both strategic & operational requirements.
- Experience required in building ETL using data from Big
Query.
- Familiarity with GCP services, preferably having supported
deployments on one or more of GCP services.
- Experience required building ETL using Apache Spark.
- Experience in managing code using GitHub (CI/CD).
- Ability to execute and deliver in agile (scrum) development
methodology.
- Always curious and self-starter in continuous improvements and
development/automation/optimization of all things data.
- Working knowledge with Tableau (preferred).
- Can-do attitude on solving complex business problems, good
interpersonal and teamwork skills.
- Must be in SF Bay area.The TeamWorking at a high-tech
cybersecurity company within Information Technology is a once in a
lifetime opportunity. You'll be joined with the brightest minds in
technology, creating, building, and supporting tools that enable
our global teams on the front line of defense against cyber
attacks. We're joined 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 that feels
excitement at the prospect of a challenge and feels a thrill at
resolving technical gaps that inhibit productivity.Compensation
DisclosureThe compensation offered for this position will depend on
qualifications, experience, and work location. For candidates who
receive an offer at the posted level, the starting base salary (for
non-sales roles) or base salary + commission target (for
sales/commissioned roles) is expected to be between $124,000 -
$201,500/YR. The offered compensation may also include restricted
stock units and a bonus. A description of our employee benefits may
be found .Our CommitmentWe're problem solvers that 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.Is role eligible for
Immigration Sponsorship?: Yes
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Keywords: Palo Alto Networks, Inc., Carmichael , Staff Data Engineer Santa Clara, California, United States, Engineering , Santa Clara, California
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