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Metro locations and senior data role with moderate brand recognition create medium competition.
Core data engineering skills are highly transferable across industries despite healthcare preference.
Explicit 7–10 years plus mandatory Databricks, PySpark, Azure, and ETL experience makes filters stringent.
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Lead design, development, and implementation of centralized data warehouse solutions including ETL pipelines and reporting in Azure environment.
Collaborate across agile teams to integrate and centralize data from multiple sources and support large-scale data product delivery.
Perform thorough data analysis to identify opportunities and solve business problems within healthcare data settings.
7-10 years of experience in data engineering or related roles.
Strong expertise in Python/Scala, PySpark, Spark SQL, and Azure Data bricks, Azure Blob Storage, Azure Data Lake, Delta Lake.
Experience with building data pipelines and dashboards in Azure cloud environment.
Work Experience Required: 7-10 years in relevant data engineering roles.
Experienced in large-scale data product implementation and technical delivery in cloud-based environments, specifically Azure.
Familiar with agile methodologies and collaboration across teams handling ETL, microservices, and data science.
Domain experience or exposure to healthcare data and revenue cycle management solutions.