Data Engineer
1 week ago
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
- 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
Join a growing
healthtech product team
and help build the data backbone that powers AI, predictive analytics, and better patient outcomes.
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