
Staff Data and ML Platform Developer
6 days ago
We're looking for a highly skilled professional to join our team as a Staff Data and ML Platform Engineer. This is an exceptional opportunity to work on complex data platforms, leveraging the latest technologies from the Cloud & Big Data ecosystem.
About the Role- Key Responsibilities:
- Design, develop, and maintain scalable data platforms and analytical solutions that support business objectives.
- Build and maintain Continuous Integration/Continuous Deployment (CICD) pipelines to support various workflows.
- 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.
- A degree in Computer Science, Engineering, or a related field, or military experience.
- 5 to 8 years of experience in Dev Ops, 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.
- 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.
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.
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