Data Engineer – Python / SQL

5–8 years of experience in data engineering or related roles

Strong proficiency in Python and SQL

Hands-on experience with Azure Data Services (e.g., Data Factory, Synapse, Data Lake)
Experience with big data technologies (e.g., Spark, Databricks)

Familiarity with data warehousing concepts and dimensional modeling
Experience building APIs or data services for downstream consumption
Understanding of data governance, security, and compliance frameworks
Exposure to CI/CD pipelines and version control (Git)
Experience in Healthcare (HL7/FHIR, patient data systems) or BFSI domains
Exposure to AI/ML pipelines and feature engineering workflows
Knowledge of streaming technologies (Kafka, Event Hubs)
Experience with containerization (Docker, Kubernetes)
Certifications in Microsoft Azure (e.g., DP-203)