Description A rapidly scaling Health-Tech startup is developing a next-generation platform to deliver an industry-leading consumer healthcare experience powered by AI. The Azure-native ecosystem supports telemedicine and telehealth web and mobile applications while redefining the company's data, analytics, and AI foundation.
Role Overview
We are seeking an experienced
Azure Data Engineer
to design and implement high-quality
batch ingestion pipelines
from key data sources (EMR, claims, CRM) into Medallion-zone architecture (Bronze, Silver, Gold). The role focuses on embedding
data quality, lineage, and error handling
within a metadata-driven, reusable framework that ensures scalability and transparency across the enterprise data platform.
Key Responsibilities
• Build and optimize
Azure Data Factory (ADF)
pipelines, dataflows, and activities (Copy, Mapping Data Flows, Notebooks) for ingestion and ELT, leveraging
Key Vault
for secrets management. • Implement
schema drift handling ,
incremental loads , and
retry/error notification patterns . • Develop
Silver/Gold transformations ,



conforming dimensions and KPIs according to business-defined semantic models. • Apply
data quality checks , publish metrics to monitoring dashboards, and lead issue remediation. • Register and maintain assets in
Microsoft Purview , ensuring data cataloging, PII classification, and RBAC alignment. • Document pipelines, author operational runbooks, and actively participate in peer code reviews and on-call rotations.
Expected Outcomes
- 2–3 data sources onboarded per quarter, each validated with signed-off data quality results and lineage diagrams.
- Parameterized pipelines with reusable templates and environment-aware configurations.
- Consistent delivery of reliable, compliant, and performant data pipelines supporting analytics and AI workloads.

Requirements Qualifications
• 4–7 years of hands-on experience in
data engineering within Azure ecosystems . • Strong command of
ADF and SQL , with wo

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