Resume & ATS · India

Data Engineer resume that gets past ATS

Indian hiring for Data Engineer roles (DE) is competitive across product and analytics-heavy firms. Typical packages for solid profiles land around 8–20 LPA, with wide variance by city and company tier. Panels care about reliable pipelines over flashy notebooks.

Skills language to mirror

When the job description names these — and you have them — use the same wording. Indian ATS and recruiter searches are literal.

SQL · Spark · Airflow · Python · warehouses · ETL

ATS tips for Data Engineer

• Mirror the JD's exact stack terms when you truly have them — especially SQL, Spark, Airflow.
• List pipelines owned, SLAs, data volumes
• Use standard headings (Summary, Experience, Projects, Skills, Education). Avoid tables and text boxes that break Indian ATS parsers.
• Put the target title (Data Engineer) near the top if it matches the role you want next.

Common mistakes

• Notebook-only stories with no pipeline, SLA, or volume.
• Claiming Spark/Airflow without naming the warehouse or orchestration you ran.
• No mention of late data, idempotency, or backfills.
• Treating DE as 'I know Pandas' on a product-company JD.

Interview angle (preview)

Panels often probe: reliable pipelines over flashy notebooks. Practise: Batch vs stream; late-arriving data; idempotent jobs; cost blow-up on a cluster.

Full Data Engineer interview guide →

Related reading: How Indian IT companies screen with ATS · ATS Scanner