Senior Staff IT Data Engineer
Senior Staff IT Data Engineer
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1 Vacancy
Job Description
Your Career
Our Data & Analytics group is responsible for working with various business owners/stakeholders from Sales Marketing People GCS Infosec Operations and Finance to solve complex business problems which will have a direct impact on the metrics defined to showcase the progress of Palo Alto Networks. We leverage the latest technologies from the Cloud & Big Data ecosystem to improve business outcomes and create through prototyping Proof-of-Concept projects and application development. We are looking for a Staff IT Data Engineer with extensive experience in Data engineering SQL Cloud engineering and business intelligence (BI) tools. The ideal candidate will be responsible for designing implementing and maintaining scalable data transformations and analytical solutions that support our business objectives. This role requires a strong understanding of data engineering principles as well as the ability to collaborate with cross-functional teams to deliver high-quality data solutions.
This is an in office role 3 days/week in our Santa Clara CA office
Your Impact
Design develop and maintain data pipelines to extract transform and load (ETL) data from various sources into our data warehouse or data lake environment.
Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
Optimize and tune existing data pipelines for performance reliability and scalability.
Implement data quality and governance processes to ensure data accuracy consistency and compliance with regulatory standards.
Work closely with the BI team to design and develop dashboards reports and analytical tools that provide actionable insights to stakeholders.
Mentor junior members of the team and provide guidance on best practices for data engineering and BI development.
Qualifications :
Your Experience
Bachelors degree in Computer Science Engineering or a related field.
5 years of experience in data engineering with a focus on building and maintaining data pipelines and analytical solutions.
Expertise in SQL programming and database management systems
Hands-on experience with ETL tools and technologies (e.g. Apache Spark Apache Airflow).
Familiarity with cloud platforms such as Google Cloud Platform (GCP) and experience with relevant services (e.g. GCP Dataflow GCP DataProc Biq Query Procedures Cloud Composer etc).
Experience with Big data tools like Spark Kafka etc.
Experience with object-oriented/object function scripting languages: Python/Scala etc
Experience with BI tools and visualization platforms (e.g. Tableau) is a plus.
Experience with SAP HANA SAP BW SAP ECC or other SAP modules is a plus
Strong analytical and problem-solving skills with the ability to analyze complex data sets and derive actionable insights.
Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams.
Additional Information :
The Team
Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks.
Were 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.
Compensation Disclosure
The 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 $122000- $197000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
