Netflix Jobs At Home, Job.Netflix.Tagger ( Data Engineer (L5) )

Description

At Netflix, our goal is to make the world happy. With over 200 million subscribers in 190 countries and millions of devices; have TV series, documentaries and films in different genres and languages ​​- Netflix brings back entertainment from start to finish. We’re revolutionizing the way movies and TV shows are produced, pushing the boundaries of technology to deliver fast-paced video streaming across the Internet, and continuing to improve the end-user experience. and ending with Netflix in its group tour. Netflix Jobs At Home, Job.Netflix.Tagger ( Data Engineer (L5) )

We pride ourselves on using data to inform our decisions as part of our work. This requires keeping data in different areas such as growth, income, product, content, and studio. All of this data collection and processing is done by the amazing data engineers at Netflix who bring this data to life. Data engineering at Netflix is ​​a job that requires in-house systems to properly process data and produce data to gain analytical power. These solutions can range from batch data pipelines that bring business metrics to life, to scheduling services that integrate with core product functions. Additionally, we require our data engineers to have a deep understanding of the large distributed systems that underpin our data solutions. Candidates should have knowledge in several of these skill sets and should be proficient in at least one. As a data engineer, you must have strong communication skills, as you will need to collaborate with business, engineering and scientific teams to enable a learning culture. Learn more about data engineer jobs at Netflix. Location: We consider people who want to move to Los Gatos, CA, as well as candidates who are out of town (outside the US with occasional visits to Los Gatos) depending on the professional team you work with.Netflix Jobs At Home, Job. Netflix.Tagger ( Data Engineer (L5) )

• Who are you? You are committed to writing beautiful code and are comfortable learning new technologies independently
• You know at least one programming language (eg Java, Scala, Python) and are comfortable with SQL
• You enjoy helping teams push the boundaries of analytics, develop new product features using data, and the power of machine learning models.
• You have a strong background in at least one of the following areas: distributed data processing or data services software engineering, or data processing.
• You are familiar with Big Data technologies such as Spark or Flink and are comfortable with online data analytics.
• You have an eye for detail, a good data sense and a passion for data quality
• You understand the importance of good documentation and data mining skills
• You influence and incorporate many aspects of the Netflix culture. You enjoy working independently while collaborating and giving/receiving positive feedback
• You are comfortable working in a fast-paced environment with complex requirements. You are strong and take great risks

At Netflix, we carefully consider several payment options to determine the highest limit for yourself. We rely on market metrics to determine compensation and consider your job family, background, skills and experience to get the most out of it. These plans can vary your repayments and also depend on your situation. Netflix Jobs At Home, Job.Netflix.Tagger ( Data Engineer (L5) )

Top 10 Tips for Interview:

1. Keep your mind and body, relax.
2. Never try to give a long answer to an interview question. Keep your answer short and effective.
3. If you don’t know the answer of any question, do not try to mislead the interviewer because he knows everything. Here your answer should be just some simple words “Sorry Sir/Ma’am, I do not know the answer”.
4. Your dress should be formal. Formal dress always leaves a good impact on the interviewer.
5. Take the permission from the interviewer before going inside the interview room by saying “May I come in Sir/Madam?”.
6. Do not shake your leg and hand again and again.
7. Your clothes should be neat and clean.
8. If the interviewer asks the question in English/Hindi, you should give the answer in the same language. If you are not comfortable in that language, you should ask your interviewer “I am not comfortable in English/Hindi. Sir, Can I give the answer in ‘your comfortable language'”. Do not try to give the answer in which language you are not comfortable because in this situation. You would not be able to give your 100% in that language.
9. How much time you will stay in the interview room, do not be out of focus. Your focus should be on the interviewer. Do not miss any single word out of what he would be asking. Because if you do so, you will need to listen to that question again. And trust me guys. This is very bad impact. So try to understand and listen to the question properly at once.
10. Before leaving the room. You should say ‘Thank you to your interviewer’

Netflix Jobs At Home, Job.Netflix.Tagger ( Data Engineer (L5) )

How to apply:

1. All the eligible candidates can apply for This Job as mentioned below
2. Read official notification carefully From the Official Website.
3. Read Notification Carefully Before Apply.
4. Fill The Application Form (Link Is Given Below)
5. Attach Required Document and Passport Size Photo with Signature.
6. Then Submit. Done.

Netflix Jobs At Home, Job.Netflix.Tagger ( Data Engineer (L5) )