Data Engineer

Role overview Build the data foundation that powers every dashboard, cohort analysis, and clinical audit query. This mid-to-senior role focuses on designing and operating the warehouse and event pipelines that serve product, clinical, and finance teams.

Responsibilities - Design and maintain ELT pipelines drawing from operational databases and third-party data sources. - Model the warehouse using dbt so analysts and product managers can self-serve their queries. - Instrument event tracking and ensure personal data is handled in line with applicable privacy regulations (DPDP). - Partner with clinical stakeholders to define reproducible cohort logic. - Keep the warehouse reliable so downstream reporting and audits remain trustworthy.

Requirements - At least 3 years of data engineering experience with strong SQL fluency. - Hands-on experience with dbt, Airflow (or comparable orchestrators), and a modern warehouse such as BigQuery, Snowflake, or ClickHouse. - Proficiency in Python for pipeline code and testing.

Nice to have - Background working with clinical or transactional datasets. - Prior exposure to privacy-preserving analytics techniques.

Benefits and work setup - Remote-first position based in India, reporting to the Head of Data. - Full-time engineering role with a structured hiring process (application review, intro call, craft interview, founder conversation, and offer within seven working days).