数据工程师 (L5) - 广告
Data Engineer (L5) - Ads
在Netflix，我们的使命是娱乐全世界。我们正在书写下一章——突破叙事、全球粉丝和将不可想象变为现实的边界。我们是一支梦想团队，痴迷于探索创意、直觉和尖端技术融合时带来的不适感与兴奋感。加入我们，成为未来的一部分。
关于团队
广告数据工程团队位于构建数据生态系统的核心，该系统将推动Netflix对广告业务影响的理解和决策。该团队的主要重点是构建丰富、互联且易于访问的数据产品，涵盖广告库存、预测、定位、广告投放、节奏控制等。我们正在寻找充满热情、成熟且好奇的软件工程师，具备强大的数据直觉、分析思维和广告生态系统经验，以在快速发展的环境中为团队带来影响力。
我们正在为该团队招聘多个不同级别的职位，从高级到资深级别。
你是什么样的人？
- 除了有才华，你还充满好奇心、创造力和韧性。
- 擅长沟通，能够用清晰简洁的语言分解和解释复杂的数据问题。
- 具有在大规模数据上工作的丰富背景和扎实的技术能力，有广告数据经验者优先，并理解如何构建符合隐私要求并具有商业影响力的系统。
- 能够容忍模糊性和快速变化的环境。
- 有构建批处理或流式生产数据管道的实际经验，最好是使用Spark、Flink或Hive/Hadoop等分布式处理框架。
- 精通数据建模，并能在多个系统之间建立数据架构。
- 在快节奏的环境中茁壮成长，并视自己为业务伙伴，共同推动业务前进。
- 编写的代码易于理解、简洁且整洁，并为其美感感到自豪。
- 珍视自由，讨厌被微观管理。在给予上下文的情况下，你能够自我驱动。
- 对数据质量充满热情，并致力于提供有效的数据来影响业务。
你将做什么？
- 设计、强化和扩展支撑我们广告业务的核心数据产品。你将加入一支才华横溢的数据工程师团队，设想来自多个来源的所有数据元素如何作为一个整体进行整合，并执行该计划。
- 完全负责Netflix广告数据产品的关键部分。
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
**About the team**
Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix’ understanding and decision making about what impact ads have on our business. This team’s main focus is to build rich, connected, and easily accessible data products about ad inventories, forecasting, targeting, ad serving, pacing and much more. We are looking for passionale, mature, and curious software engineers with strong data intuition, analytical mindset and ad ecosystem experience, to contribute to the team’s impact in a quickly evolving.
We are hiring for several different roles, ranging from senior to staff level for this team.
**Who are you?**
- Beyond talented, you are curious, creative, and tenacious.
- Sharp communicator who can break down and explain complex data problems in clear and concise language.
- You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impact
- You have a high tolerance for ambiguity and fast-changing context
- Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop
- Knowledge in data modeling and establishing data architecture across multiple systems
- Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- Create code that is understandable, simple, and clean, and take pride in its beauty.
- Love freedom and hate being micromanaged. Given context, you're capable of self-direction.
- Passionate about data quality and delivering effective data to impact the business.
**What will you do?**
- Architect, strengthen, and expand the core data products that scale our Ads business. You’ll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan.
- Fully own critical portions of Netflix' Ads data products. Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data.
- Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively
- Develop best practices for governance of data sets with sensitive information
- Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners
**What (ideally) do you know?**
- Domains related to advertising, data privacy, GDPR
- Data warehousing, data modeling, and data transformation for both batch and streaming
- Hands on command programming languages such as python, scala or java as well data exploration using sql
- Expert at building performant data pipelines and optimizing existing workflows for new features
- Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc.
- Experience with sourcing and modeling data from application APIs
- Team based software development tools and best practices
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits [here](https://jobs.netflix.com/work-life-philosophy).
Netflix is a unique culture and environment. Learn more [here](https://jobs.netflix.com/culture).
[Inclusion](https://about.netflix.com/en/inclusion) is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.