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Metro location, mid-level data engineer title, and broad Azure/PySpark skill set increase candidate competition.
Core data engineering skills transfer across industries, but healthcare preference adds moderate domain specificity.
Explicit 5–8 years requirement plus mandatory Azure Databricks, PySpark, and Spark SQL increases strictness.
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Design, develop, and implement centralized data warehouse solutions for ETL, reporting, and analytics.
Create data pipelines and dashboards using Azure Data bricks and Spark SQL.
Collaborate with agile teams to deliver technical solutions in a healthcare data environment.
5 - 8 years of experience in data engineering or related roles.
Proficiency in Python/Scala, PySpark, and Spark SQL.
Experience with Azure Data bricks, Azure Blob Storage, Azure Data Lake, and Delta Lake.
Work Experience Required: 5 - 8 years in data platform engineering.
Experience working with large-scale data product implementations in healthcare domain preferred.
Strong background in ETL processes, distributed microservices, and data science collaboration.
Familiarity with agile methodologies and designing data solutions in cloud environments.