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Lead Data & ML Infrastructure Engineer Job Opening In Bengaluru – Now Hiring Palo Alto Networks


Job 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.
Who We Are
We 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 contributes to our collective success.

Our values were crowdsourced by employees and are brought to life through each of us everyday - 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!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions.

This is why our employees generally work full time from our office with flexibility offered where needed.

This setup fosters casual conversations, problem-solving, and trusted relationships.

Our goal is to create an environment where we all win with precision.
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.

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 cyberattacks.
Our Commitment
We’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 accommodations@paloaltonetworks.com.
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.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead Data Jobs Trends (Graphical Representation)

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Are You Looking for Lead Data & ML Infrastructure Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Palo Alto Networks adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead Data & ML Infrastructure Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data & ML Infrastructure Engineer?

Key qualifications for Lead Data & ML Infrastructure Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Lead Data & ML Infrastructure Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Lead Data & ML Infrastructure Engineer Job Success

Palo Alto Networks interview tips for Lead Data & ML Infrastructure Engineer

Here are some tips to help you prepare for and ace your Lead Data & ML Infrastructure Engineer job interview:

Before the Interview:

Research: Learn about the Palo Alto Networks's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data & ML Infrastructure Engineer interview at Palo Alto Networks, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Palo Alto Networks's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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