Analytics Engineer
Own the analytics foundation for a fintech business by building trusted dbt and Databricks data products, semantic metrics, dashboards, and quality standards. The role requires 7+ years of analytics engineering experience, expert SQL and dbt skills, and practical daily use of AI coding tools.
About the job
Responsibilities
- Design and build production dbt models on Databricks as trusted sources of business data.
- Support external reporting with accurate, governed data.
- Own data quality, including testing, CI/CD, documentation, and team standards.
- Build and evolve Databricks dashboards and semantic metrics for business self-service.
- Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn ambiguous business problems into durable data products.
- Use AI-native development workflows with Cursor, Claude, or equivalent tools, and design models and documentation for both human and LLM consumers.
Requirements
- 7+ years of experience in analytics engineering or equivalent.
- Experience owning production data models end to end.
- Expert SQL and deep dbt expertise, including architecture, incremental models, tests, macros, and CI/CD.
- Strong Databricks BI or equivalent semantic-layer delivery experience.
- Daily practical use of AI coding tools, with rigorous output validation.
- Ability to execute in ambiguous, fast-moving startup environments.
- Clear communication with technical and non-technical audiences.
- Strong ownership mentality and initiative.
Compensation and Benefits
- Competitive salary and stock options.
- Benefits from Day 1, including health, accident and disability, term life, mental health, and wellness coverage.
- Hybrid work model with three days per week in the Bengaluru office.
- Vacation, sick leave, paid regional holidays, and other paid leave programs.
- Monthly transport and work-from-home allowances.
Skills
SQL, dbt, Databricks, Databricks Bi, CI/CD, Data Modeling, Data Quality Testing, Semantic Layer, Cursor, Claude Code
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