Data Engineer
Suki (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 16–28 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Build the Customer Success semantic layer in BigQuery: a single source of truth for measuring customer value, adoption, and retention.
- Own end-to-end ingestion and transformation across systems such as Salesforce and Gainsight, including data quality checks, monitoring, and reliable delivery to BI.
- Standardize healthcare and customer metrics and optimize models for fast, dependable dashboards and business workflows.
Minimum Requirements
- Work Experience Required: 3–5 years in Analytics Engineering or Data Engineering.
- Expert SQL and dbt skills, with experience modeling complex semi-structured data such as JSON or FHIR in BigQuery or Snowflake.
- Hands-on experience with ELT tools and orchestration, such as Fivetran or Airbyte and Airflow or dbt Cloud; practical Python expertise for API integrations and workflow automation.
- Not explicitly mentioned in the JD: degree requirement, notice period, or strict location/onsite requirement.
Ideal Candidate Profile
- Has worked with B2B SaaS or Customer Success data and can turn customer, CRM, and product signals into consistent adoption and retention metrics.
- Can handle varied healthcare data and map metrics from different health systems into flexible, reliable analytical models.
- Fits a founding-builder role: owns pipelines through BI delivery, favors maintainable scalable infrastructure, and works across Customer Success, Product, Finance, Sales, and Analytics.