ApplySarthi

Senior Staff Engineer - Data Engineer

Nagarro

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This role on the market

7,719 open data roles across 695 companies are on ApplySarthi right now, most of them in Bengaluru (422), Hyderabad (300), Mumbai (161).

What data roles keep asking for: Python (29%), AWS (29%), SQL (29%), Machine learning (17%), Spark (12%) — counted across their open postings here.

BigQuery jobs · Databricks jobs · LLMs jobs · Redshift jobs

Nagarro has 857 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for data roles keep coming back to Python, AWS, SQL, Machine learning. Practise those questions before you sit with Nagarro.

Questions you are likely to be asked

  1. Why do you want to join Nagarro?
  2. What is your experience with dbt? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Practise the Senior Staff Engineer - Data Engineer at Nagarro interview free →

8+ years of experience in Data Engineering, Analytics Engineering, or related fields. 3+ years of hands-on experience with dbt in production environments. Strong expertise in SQL and complex data transformation development. Strong understanding of dbt Core and/or dbt Cloud. Experience with dbt models and materialization Experience with incremental models Experience building and maintaining macros using Jinja Experience with dbt tests and data quality frameworks Experience with snapshots Experience with seeds and sources Experience with documentation and data lineage Experience using dbt packages Strong experience with at least one cloud data platform: Snowflake Databricks Google BigQuery Amazon Redshift Daily, fluent use of Claude Code and/or GitHub Copilot for implementation, refactoring, test generation, and code review Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines) Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype

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Listed on smartrecruiters · posted 2026-10-05. ApplySarthi collects openings and links to application pages; the role is advertised by Nagarro, not by us.