A five-stage path tuned for the Indian market — 4,580 open Data Engineer roles right now, salary band ₹7L – ₹38L. The detailed week-by-week curriculum is being authored and lands shortly. In the meantime here is the exact structure we are building, and the entry points that already work.
Detailed roadmap content launching this month · last refreshed May 2026
Design and run the data pipelines that power analytics and ML systems.
Data engineering is plumbing first, analytics second. Get SQL, Python and one warehouse engine into muscle memory before anything else.
Pipelines + tests + lineage. Hiring panels look for whether you treat pipelines as software (PRs, tests, CI) — not as one-off scripts.
Build a portfolio that proves you can hold a 24/7 data layer up. SLA, alerting and data quality are senior expectations — start practising them now.
Specialise. Streaming, lakehouse and reverse-ETL each pay differently — pick what your target employer cluster (GCC vs product) actually runs.
Lead the data platform for a product line. The senior band converges with platform / backend at GCCs and steeper at product companies (Walmart / Razorpay / ThoughtSpot).
Don't plan in isolation — anchor the roadmap to live hiring signal. Browse the 4,580 open Data Engineer roles in India to see what employers actually demand, and benchmark offers against the Data Engineer salary tracker.
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