Healthcare Data Pipeline Architect

We’re hiring an experienced Data Engineer to design and build modern data pipelines that power advanced analytics, AI, and healthcare insights.

If you thrive in cloud-native environments and love transforming complex, multi-source data into meaningful intelligence — this role is for you.

⚙️ What You’ll Work On

• Design and maintain scalable batch and streaming data pipelines using Google Cloud Dataflow, Datastream, and Airbyte
• Develop and optimize ETL / ELT processes across AWS Postgres, Google FHIR Store, and BigQuery
• Build unified data models integrating EHR / FHIR, claims, HL7, CRM, and transactional data
• Implement transformations in dbt / OBT to create curated semantic layers for AI / BI pipelines
• Ensure data quality, lineage, validation, and HIPAA compliance across all pipelines
• Collaborate with AI / ML, BI, and product teams to deliver data-driven insights
• Drive cost optimization and performance tuning for BigQuery and streaming systems
• Contribute to architectural decisions and mentor junior engineers on best practices

🧠 What You Bring

partition and cluster strategies

📍 Location : Pune (Work from Office)

☁️ Tech Stack : GCP, Dataflow, Datastream, BigQuery, Python, SQL, dbt

🏥 Domain : HealthTech / Cloud Data Engineering

Join a growing healthtech product team and help build the data backbone that powers AI, predictive analytics, and better patient outcomes.