Senior Data Analytics Engineer
Experity (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end analytical domains including design, implementation, testing, deployment, documentation, and production support of semantic models and data products.
- Develop and maintain reusable, governed analytical datasets and metrics supporting multiple products, teams, and AI experiences with consistent business logic.
- Collaborate cross-functionally to translate ambiguous requirements into scalable data products, establish engineering standards, and troubleshoot complex production issues.
Minimum Requirements
- 5+ years in analytics engineering, data engineering, BI engineering, or advanced data analytics.
- Bachelor’s degree in technical or analytical field or equivalent practical experience.
- Advanced SQL skills; proficiency in Python, Snowflake, and dbt required.
- Experience designing and building production-quality analytical models with dimensional modeling expertise.
Ideal Candidate Profile
- Experienced in defining scalable, reusable semantic layers and governed analytical data products across domains, not just ad-hoc reporting.
- Able to independently clarify tradeoffs and decisions, bridging technical and non-technical stakeholders in a distributed team environment.
- Capable of leading engineering best practices including automated testing, code reviews, CI/CD, and mentoring junior engineers.