Staff Data and ML Platform Engineer
Staff Data and ML Platform Engineer
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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 and ML platform Engineer. Cloud engineering and business intelligence (BI) tools. The ideal candidate will be responsible for designing implementing and maintaining scalable platforms 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 platform solutions.
Your Impact
- Design develop and maintain data Infrastructure to support ETL real time pipelines data science and AI/ML workloads
- Build and maintain CICD pipelines to support various workflows.
- Support workflow 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.
- Mentor junior members of the team and provide guidance on best practices for data engineering and BI development.
Qualifications :
Your Experience
- UG/PG degree in Computer Science Engineering or a related field or military experience required
- 5 to 8 years of experience in DevOps Data platform operations and ML workloads with a focus on building and maintaining data and AI/ML tools.
- 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 Airflow Kafka Grafana Prometheus LGTM etc.
- Experience with object-oriented/object function scripting languages: Python/Scala etc
- 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 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 cyberattacks.
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.
Is role eligible for Immigration Sponsorship No. Please note that we will not sponsor applicants for work visas for this position.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
