Netflix

Data Engineer - Ads

Netflix

Los Gatos, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We are looking for an experienced and passionate Data Engineer - Ads to join our team at Netflix! In this role, you will be responsible for developing and maintaining our data and analytics pipelines related to Ads. To be successful in this role, you will need to have a solid understanding of data engineering fundamentals, a passion for data-driven decision making, and a commitment to delivering exceptional results. To be considered for this role, you must have at least 3 years of experience in a Data Engineering role, with a strong focus on Ads, as well as proven experience building and maintaining data pipelines. In addition, you must have a strong understanding of database systems, query languages, and data modeling techniques. You must also have excellent communication and problem solving skills, as well as a drive to stay up-to-date on the latest technologies.We are looking for a Data Engineer - Ads who will bring their enthusiasm and dedication to this role and help us continue to create an exceptional environment for our employees and customers.

Responsibilities:

  1. Develop and maintain data and analytics pipelines related to Ads.
  2. Utilize database systems, query languages, and data modeling techniques to effectively build and maintain data pipelines.
  3. Monitor data quality and integrity to ensure accuracy of data.
  4. Troubleshoot and resolve any data-related issues.
  5. Work closely with other teams to ensure data accuracy and understanding of analytics.
  6. Stay up-to-date on the latest technologies related to data engineering and Ads.
  7. Collaborate with other engineers to ensure successful implementation of projects.
  8. Analyze data and generate insights to inform decision making.
  9. Provide technical leadership and mentorship to other team members.
  10. Prepare reports and presentations on data engineering and Ads.
Where is this job?
This job is located at Los Gatos, CA, USA
Job Qualifications
  • Mathematics

  • Or A Related Field

  • Python

  • Statistics

  • Bachelor’s Degree In Computer Science

  • Hadoop

  • Proficiency In Sql

  • Data Modeling

  • And Working With Large Datasets

  • Experience With Big Data Processing Tools Like Apache Spark

  • And Hive

  • Experience In Data Warehousing

  • And Etl Processes

  • Familiarity With Data Visualization Tools Such As Tableau Or Looker

  • Strong Problem Solving

Required Skills
  • Sql

  • Python

  • Java

  • Big Data

  • Data Modeling

  • ETL

  • Machine Learning

  • Hadoop

  • Hive

  • Kafka

  • AWS

  • Data warehousing

  • Data Visualization

  • Spark

  • Data Mining

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Work ethic

  • Interpersonal Skills

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Data Engineer - Ads in Los Gatos, CA, USA is $94,939 - $140,400.

Additional Information
Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 6th, 2023
Apply BeforeMay 22nd, 2025
This job posting is from a verified source. 
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About Netflix

Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.

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