Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
رفتن به کانال در Telegram
👨💻🕵♀️ Discover a curated selection of high-quality FAANG jobs and internship opportunities that are truly worth applying for. 🏙️🙅 FAANG is an acronym that stands for: Facebook, Amazon, Apple, Netflix & Google For promotions: @love_data
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
کانال Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple (@faangjob) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 26 402 مشترک است و جایگاه 1 447 را در دسته حرفه و رتبه 15 908 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 26 402 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 17 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 134 و در ۲۴ ساعت گذشته برابر 11 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 6.42% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.47% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 695 بازدید دریافت میکند. در اولین روز معمولاً 389 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 4 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند analytic, link:-, engineer, degree, learning تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“👨💻🕵♀️ Discover a curated selection of high-quality FAANG jobs and internship opportunities that are truly worth applying for.
🏙️🙅 FAANG is an acronym that stands for: Facebook, Amazon, Apple, Netflix & Google
For promotions: @love_data”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 18 ژوئیه, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته حرفه تبدیل کردهاند.
26 402
مشترکین
+1124 ساعت
+327 روز
+13430 روز
در حال بارگیری داده...
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اشارات ورودی و خروجی
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| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 18 ژوئیه | +3 | |||
| 17 ژوئیه | +11 | |||
| 16 ژوئیه | 0 | |||
| 15 ژوئیه | +18 | |||
| 14 ژوئیه | +3 | |||
| 13 ژوئیه | +1 | |||
| 12 ژوئیه | +9 | |||
| 11 ژوئیه | +4 | |||
| 10 ژوئیه | +15 | |||
| 09 ژوئیه | +10 | |||
| 08 ژوئیه | +9 | |||
| 07 ژوئیه | +2 | |||
| 06 ژوئیه | +10 | |||
| 05 ژوئیه | +9 | |||
| 04 ژوئیه | +13 | |||
| 03 ژوئیه | +7 | |||
| 02 ژوئیه | +6 | |||
| 01 ژوئیه | +4 |
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| 7 | Few common problems with lot of resumes:
1. 𝐈𝐫𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧.
I understand that there are a lot of achievements that we are personally proud of (things like represented school/clg in XYZ competition or school head/class head etc), but not all of them are relevant to technical roles. As a fresher, try to focus more on technical achievements rather than managerial ones.
2. 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬.
Many resumes have the same common projects, such as:
Creating just the front-end using HTML and CSS and redirecting all the work to an open-source API (e.g., weather prediction and recipe suggestion apps).
Most common projects are: -
Tic-tac-toe game.
Sorting algorithms visualizers.
To-do application.
Movie listing.
The codes for these projects are often copied and pasted from GitHub repositories.
Projects are like a bounty. If you are prepared well and have quality projects in your resume, you can set the tempo of the interview. It is one of the few questions that you will almost certainly be asked in the interview.
I don't understand why we can spend 2 years preparing for data structures and algorithms (DSA) and competitive programming (CP), but not even 2 weeks to create quality projects.
Even if your resume passes the applicant tracking system (ATS) and recruiter's screening, weak projects can still lead to your rejection in interviews. And this is completely in your hands.
I feel that this topic needs a lot more discussion about the type and quality of projects that one needs. Let me know if you want a dedicated post on this.
3. 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐪𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐝𝐚𝐭𝐚.
For technical roles, adding quantitative data has a big impact.
For example, instead of saying "I wrote unit tests for service X and reduced the latency of service Y by caching," you can say "I wrote unit tests and increased the code coverage from 80% to 95% of service X and reduced latency from 100 milliseconds to 50 milliseconds of service Y." | 2 591 |
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