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Data Engineer | 5-8 YoE | Join a Fast-Growing HealthTech Startup in Pune

8 years

0 Lacs

pune maharashtra india

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

data design power analytics ai healthcare dataflow etl aws ehr crm layers compliance ml drive optimization tuning sql joins clustering orchestration airflow gcp governance standardization stack python

Work Mode

On-site

Job Type

Full Time

Job Description

We’re hiring an experienced Data Engineer

cloud-native environments


⚙️ 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

  • 5–8 years of hands-on experience in data engineering
  • Deep proficiency in SQL (joins, window functions, performance tuning) and Python
  • Proven expertise in Google Cloud (Dataflow, Datastream) and BigQuery (partitioning, clustering, optimization)
  • Solid experience with ETL/ELT orchestration tools (Airflow, Prefect, Dagster)
  • Strong understanding of data modeling (star/snowflake) and cloud-native architectures (GCP/AWS)
  • Familiarity with healthcare data standards (FHIR, HL7, X12, ICD, ADT, CCDA)
  • Experience ensuring HIPAA-compliant data governance and security


🌟 Nice-to-Have

  • Experience with real-time streaming and feature stores for AI/ML pipelines
  • Hands-on experience with Power BI or other BI tools for analytics enablement
  • Background in Value-Based Care, ACOs, or population health
  • Exposure to healthcare standardization frameworks


📍 Location: Pune (Work from Office)

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

🏥 Domain: HealthTech / Cloud Data Engineering


healthtech product team

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