Senior Data Pipeline Engineer

Company Description

Our Mission

At 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.

Our Approach to Work

We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible - from your wellbeing support to your growth and development, and beyond!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations, problem-solving, and trusted relationships. While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together!

Job Description

Your Career

As a Data Pipeline Engineer, you will be an integral member of our Artificial Intelligence & Analytics team responsible for design and development. Help build the technical foundations of our Data Ingestion and Engineering team. Be constantly challenged by tough engineering and design tasks. Build in-bound and out-bound integration from various applications with Enterprise data-lake. Supports Big Data and batch/real time analytical solutions leveraging transformational technologies. Enable users to perform CRUD operation on enterprise data lake using REST API services. Build data profiling and ETL jobs using heterogeneous sources.

You Impact

• Partner with data analysts, product owners and data scientists, to better understand requirements, finding bottlenecks, resolutions, etc.
• Design and develop different architectural models for our scalable data processing and profiling and create certified feature sets to be consumed by our data science team
• Create complex integrations, between various cloud platforms and Google BigQuery, Salesforce etc.
• You will also have opportunity to work closely with our data science team and work on various business critical predictive use-cases

Qualifications

​​​​​​Your Experience 

• 6+ year of experience with the Cloud ecosystem and Big Data technologies (Google Cloud, AWS or Azure)
• Strong knowledge of JAVA/Python and SQL - good understanding of data structure and algorithms
• Experience in working with REST/SOAP API services
• Experience in big data open source products like Apache Kafka, Confluent Centralized Schema Registry is plus
• Understanding of data governance and data profiling concepts is plus
• Ability to work in a fast-paced environment and manage multiple simultaneous priorities
• Effective problem solving and analytical skills

Additional Information

The Team

As part of the Agentless  team, you will be responsible for building products that protect data, workloads, and infrastructure for some of the largest enterprise customers in the world. We help the customers in their transitional journey to the cloud by ensuring they have the best in class protection. The cloud market has been growing at a rapid rate for the last few years. As more and more enterprises use the public cloud, there is an insatiable demand for securing workloads in the public cloud. With our recent acquisition of Prisma Public Cloud, formerly RedLock™ and Evident.io making Palo Alto Networks the reigning market leader.

Our Commitment

We’re trailblazers that dream big, 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 [email protected].

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.