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Quick Snapshot – Big Tech Selection Formula (India)
Use this as your checklist
| Stage | What to Build | What Recruiter Looks For | Proof |
|---|---|---|---|
| 1) Role Fit | Choose 1 track (SWE / Data / ML / PM / UIUX) | Clear direction | Targeted resume + LinkedIn headline |
| 2) Proof | 2–3 strong projects (deployable) / impact at work | “Can you build?” | GitHub, demo link, metrics |
| 3) Interview Readiness | DSA/SQL + System design (exp) + behavioral | Structured thinking | Mock interviews + timed practice |
| 4) Access | Referrals + recruiter outreach + consistent apply | Serious pipeline | 2 referrals/week + 10–15 applies/week |
Tip: Mobile lo table swipe cheyyandi (left-right).
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Section 1
Who Can Apply for Big Tech Jobs?
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Section 1
Who Can Apply for Big Tech Jobs?
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Important Reality You Must Know First
Big Tech lo “eligible” ante degree maatrame kaadu. Most shortlists happen when you show role clarity + proof + interview readiness.
Proof ante: 2–3 strong projects (students/freshers) or measurable work impact (experienced).
If You Are a Student (UG / PG)
Eligibility Summary
- B.Tech/BE (CS/IT/ECE), MCA, M.Tech, BSc CS/Math/Stats — internships & new-grad roles target cheyyachu.
- Best path: Internship → PPO/return offer. Internships lo selection easier than direct full-time for many candidates.
- Minimum expectation: 1 good stack + 1 strong project + basic DSA/SQL.
If You Are a Fresher (0–2 Years)
Eligibility Summary
- DSA/SQL basics + 2 deployable projects + clean resume = shortlist probability increase.
- Referrals important: India lo ATS filters strong. Referral + relevant keywords helps.
- Expectation set: 60–90 days consistent prep needed for real results.
If You Are Already Working (2+ Years)
Eligibility Summary
- Impact resume (numbers), system design basics, and strong behavioral stories needed.
- Specialization helps: backend/mobile/ML/security/SRE/PM/design.
- Focus: “what changed because of your work?” — reliability + ownership signals.
Section 2
How to Enter Big Tech (Realistic Paths)
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Section 2
How to Enter Big Tech (Realistic Paths)
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5 proven entry routes (India)
- Internships (students) → PPO/return offer
- Off-campus apply + referrals (best combo)
- Startup (Hyd/BLR) → 1–3 yrs ownership → switch
- Contract/Vendor roles → performance → convert (team dependent)
- Open-source / strong portfolio → credibility + referrals easier
Weekly pipeline target (copy-paste)
10–15 targeted applications/week + 2 referrals/week + 1 mock/week + 25–50 problems/week (role-based).
Smart outreach template (LinkedIn)
“Hi [Name], I’m targeting [role] and built [project/impact]. Your team works on [area]. If possible, can you guide me on skills to focus or consider a referral? I’ll share a 1-page resume.”
Section 3
Google vs Apple vs Meta vs LinkedIn (Quick Comparison)
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Section 3
Google vs Apple vs Meta vs LinkedIn (Quick Comparison)
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| Parameter | Apple | Meta (Instagram) | LinkedIn (Microsoft) | |
|---|---|---|---|---|
| Hiring theme | Problem-solving + scale | Craft + domain depth | Impact + ownership | Quality + collaboration |
| Interview weight | DSA + system design + behavioral | Domain deep + execution | DSA + design + impact | DSA + design + teamwork |
| Best for | General SWE/Data/ML at scale | iOS/macOS, performance, quality | Product impact & fast iteration | Enterprise-grade products |
| India hubs | Bangalore/Hyderabad/Gurgaon (varies) | Bangalore/Hyderabad (varies) | Bangalore/Hyderabad (varies) | Bangalore |
How to decide
Deep craft & platform focus → Apple. Structured DSA + scale → Google/LinkedIn. Impact + fast execution → Meta.
Section 4
Which Roles to Target? (Choose One Track)
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Section 4
Which Roles to Target? (Choose One Track)
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Software Engineer (Backend / Frontend)
Best for: CS/IT/ECE • Freshers + Exp
Core: DSA patterns + OOP + Git + debugging. Backend: Java/Spring or Node or Python/Go + SQL + caching + queues basics.
Mobile Engineer (Android / iOS)
Best for: Android/iOS enthusiasts
Android: Kotlin + Jetpack + MVVM. iOS: Swift fundamentals. Focus on performance + offline-first + clean architecture.
Data Analyst / Data Scientist
Best for: SQL + analytics mindset
SQL (joins, windows), stats (A/B tests), Python (pandas), dashboards (PowerBI/Tableau). Build 1–2 case studies.
ML Engineer
Best for: ML + deployment interest
ML fundamentals + evaluation + deployment basics. Project: resume-job matching, spam detection, ranking models.
Product Manager (PM) / UIUX
Best for: product thinking / design portfolio
PM: metrics, prioritization, PRD. UIUX: portfolio case studies (process > screens), Figma mastery.
Section 5
Skills Checklist (What to Learn)
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Section 5
Skills Checklist (What to Learn)
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Must-have (all roles)
- Strong resume (ATS-friendly) + LinkedIn profile
- Communication (structured answers) + confidence
- Projects/impact proof (GitHub/demo/metrics)
- Consistency (weekly pipeline + mocks)
For SWE
DSA, OOP, SQL basics, API understanding, debugging, Git, basic system concepts (cache/queue).
For Data/ML
SQL + stats, Python (pandas), metrics, experimentation (A/B), and one end-to-end case study.
For PM/UIUX
PM: PRD + metrics + prioritization. UIUX: strong portfolio case studies + Figma + research reasoning.
Section 6
How Interviews Happen (Step-by-step)
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Section 6
How Interviews Happen (Step-by-step)
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Typical pipeline
- Resume shortlisting (ATS + recruiter)
- Online Assessment (coding/SQL/case)
- Technical rounds (DSA/domain)
- System design (mostly 2+ years)
- Behavioral / Hiring manager
- Team match + offer
India reality
OA pass ayyaka, success mostly depends on mock interviews + timed practice. One month mocks = huge difference.
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Section 7
30–60–90 Day Preparation Plan
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Section 7
30–60–90 Day Preparation Plan
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How to use
Students: 2–3 hrs/day. Working: 1.5–2 hrs/day. Weekends: mocks + project polish + apply/referrals.
Track A: Students / Freshers (SWE)
Days 1–30
Language + OOP + DSA basics (arrays/strings/hashing) + start 1 deployable project + resume v1.
Days 31–60
Trees/recursion + backend basics + deploy project + start mocks (1/week).
Days 61–90
Graphs/DP basics + timed OAs + 10–15 applies/week + 2 referrals/week + 2 mocks/week.
Track B: Experienced (2–6 Years SWE)
Days 1–30
DSA refresh + impact resume (numbers) + behavioral stories (STAR) + system basics (cache/queue/index).
Days 31–60
6–8 system designs (notifications/search/rate limit) + 2 mock design rounds + targeted applications.
Days 61–90
Timed DSA sets + recruiter outreach + offer negotiation prep + finalize story bank.
Role-wise quick add-ons
Data/ML: SQL + stats + case studies + 1 ML project. PM/UIUX: portfolio/cases + weekly mocks.
Section 8
Interview Questions & Exam Types
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Section 8
Interview Questions & Exam Types
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How to use
Answer structure: approach → complexity → edge cases → clean explanation. Don’t bluff. Think aloud.
SWE – Coding/DSA (Common)
Typical problems
Two Sum variants, sliding window substring, merge intervals, LRU cache, BFS/DFS, tree traversals, DP (coin change/LIS), graphs (shortest path).
OA tips
Constraints check, optimal approach choose, edge cases test, avoid overcomplicated code.
System Design (Mostly 2+ Years)
Design prompts
URL shortener, notification system, job search & ranking, rate limiter, feed generation, chat system.
Data/ML – SQL/Stats
Typical topics
SQL joins/windows, funnel analysis, A/B testing, evaluation metrics, bias/leakage, precision/recall tradeoffs.
PM – Product Sense
Case prompts
Improve Instagram Reels for new users, define metrics for LinkedIn job recommendations, prioritize recruiter dashboard features.
Section 9
Vizag / Hyderabad / Bangalore Strategy
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Section 9
Vizag / Hyderabad / Bangalore Strategy
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If you are in Vizag
Big-tech offices limited kabatti: portfolio build → internships/remote projects → Hyderabad/Bangalore move (if needed). Referrals accelerator.
Hyderabad
Product ecosystem strong. Meetups + LinkedIn outreach + targeted roles with stack match.
Bangalore
Maximum openings. Fresher ki startup-first (ownership) → later big-tech switch valid path.
FAQs – Big Tech Jobs (Keyword-Rich)
1) Vizag student ki Google/LinkedIn job possible aa?
Yes. Off-campus + referrals + 2 strong projects + DSA/SQL prep tho possible. Vizag lo portfolio build chesi Hyderabad/Bangalore roles target cheyyandi.
2) Freshers ki DSA entha cheyyali?
Pattern-based 150–250 problems (quality + explanation). Along with weekly timed OA mocks.
3) Fastest entry method enti?
Students: internships. Freshers: DSA + projects + referrals. Experienced: impact resume + system design + targeted outreach.
About BeInCareer
BeInCareer provides verified job updates, walk-in drives, career guidance, and interview preparation content across India—especially for Vizag, Hyderabad and Bangalore candidates.
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