Role-Based Learning
Pick your role
8 curated stacks. Each role lists the technologies hiring managers actually screen for, the typical prep duration, and the companies that hire most.
Data Engineer
4–6 weeksDesign and run distributed data pipelines, lakehouses, and streaming systems.
Hires at: Amazon · Flipkart · PhonePe
Open roadmap →ML / GenAI Engineer
4–6 weeksProductionise ML and LLM systems — training pipelines, RAG, evaluation, and serving.
Hires at: Google · Microsoft · Anthropic
Open roadmap →Backend Engineer
6–8 weeksBuild high-throughput APIs, transactional systems, and the services data products run on.
Hires at: Uber · Razorpay · Zepto
Open roadmap →Cloud / Platform Engineer
4 weeksOperate the cloud — IaC, multi-cloud data platforms, networking, and observability.
Hires at: Amazon · Microsoft · TCS
Open roadmap →Data Scientist
4 weeksStatistical thinking, experimentation, A/B testing, and product-facing analytics.
Hires at: Meta · Google · Swiggy
Open roadmap →DevOps / SRE
4 weeksCI/CD pipelines, observability, incident response, and developer-platform work.
Hires at: Razorpay · Zepto · Walmart
Open roadmap →Analytics Engineer
3–4 weeksBridge data engineering and analytics — model the data, ship clean dbt projects, own metrics.
Hires at: Swiggy · Zepto · PhonePe
Open roadmap →Streaming Specialist
3 weeksReal-time pipelines — Kafka internals, exactly-once semantics, and structured streaming.
Hires at: Uber · PhonePe · Zepto
Open roadmap →