N
Nagarro
Data Engineer
Senior Staff Engineer - Data Engineer
On-siteStaffData Engineerposted 5d ago
Role summaryAI-generated
This position requires over eight years of data engineering experience with a focus on dbt and cloud data platforms, including Snowflake, Databricks, BigQuery, and Redshift. The senior staff engineer will design and maintain complex SQL transformations, dbt models, and data quality frameworks while leveraging Jinja macros and documentation tools.
Skills required
About this role
- 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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