Analytics Engineer 5 - Application Quality of E...
@ Netflix

Hybrid
$500,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXX***** @netflix.com
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Job Details

Overview

Netflix is one of the world's leading entertainment services with over 300 million paid memberships across 190 countries. Our goal is to provide a seamless, high-quality streaming experience on a variety of devices.

Role Summary

The Analytics Engineer 5 - Application Quality of Experience at Netflix will work on enhancing the end-to-end data instrumentation and monitoring of the Netflix App QoE. The role focuses on building technical datasets from telemetry data, creating dashboards used by engineering and business teams, and collaborating with multiple stakeholders.

Key Responsibilities

  • Develop robust data pipelines for App QoE instrumentation.
  • Collaborate with product engineering and data science teams.
  • Create clear written and visual documentation for user flow instrumentation.
  • Utilize Python, SQL, and data engineering skills to monitor performance.
  • Champion best practices for quality monitoring and dashboard creation.

What You Bring

  • Passion for building technical datasets and logging systems.
  • Excellent communication skills for technical and non-technical audiences.
  • Proficiency in Python, SQL, and engineering data pipelines.
  • Familiarity with software engineering practices and large scale data processing.
  • Ability to work with minimal oversight and thrive in ambiguity.

Compensation & Benefits

Netflix offers an annual salary determined by market indicators along with the option to choose stock vs salary mix. Comprehensive benefits include health plans, retirement plans, paid time off, and more.

Key skills/competency

  • Data Engineering
  • Python
  • SQL
  • Instrumentation
  • Dashboarding
  • Data Pipelines
  • Communication
  • Telemetry
  • Quality Experience
  • Collaboration
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How to Get Hired at Netflix

🎯 Tips for Getting Hired

  • Customize your resume: Highlight technical data pipeline experience.
  • Research Netflix: Understand their culture and streaming innovations.
  • Prepare for technical rounds: Practice Python, SQL and data case studies.
  • Showcase communication: Demonstrate clear documentation skills.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice advanced SQL queries.
Study data pipeline architectures.
Experiment with telemetry tools.

Behavioral Questions

Describe collaboration with cross-functional teams.
Explain handling ambiguous work scenarios.
Detail conflict resolution with colleagues.
Share examples of clear technical documentation.

Frequently Asked Questions