We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description- 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
Skills Required
- 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, or 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, including prompting, verification, security and IP guardrails, and review of AI-authored changes
- Working understanding of LLM fundamentals, including context windows, tokens, model selection, and prompt/context engineering
- Experience integrating AI into developer workflows and agentic or automation tooling, including MCP servers, AI-driven CI steps, code generation, and documentation pipelines
- Ability to evaluate AI tooling by measuring productivity and quality impact
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
