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Metro location, popular Data Engineer role, and early-career experience band increase applicant competition.
Core data engineering skills are highly transferable across industries; healthcare experience is only preferred.
Explicit 1-3 years plus mandatory Azure Databricks, PySpark, and data platform skills enforce strict shortlisting.
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Plan, design, and implement centralized data warehouse solutions for ETL, reporting, and analytics across company applications.
Develop and maintain data pipelines and Databricks dashboards using Azure cloud tools including Azure DataBricks, Blob Storage, Data Lake, and Delta Lake.
Collaborate with Agile teams and engineers in ETL, microservices, and data science domains to centralize data and deliver large scale data products.
1-3 years of experience in data engineering or software engineering roles.
Proficiency in Python/Scala, PySpark, Spark SQL, and Azure DataBricks cloud environment.
Experience with Azure Blob Storage, Azure Data Lake, Delta Lake, and creating data pipelines and dashboards.
Work Experience Required: 1-3 years; Healthcare industry experience preferred but not mandatory; Agile methodology experience preferred.
Experience working on large scale technical data product delivery and ownership in a cloud-based environment, specifically Azure.
Familiarity with OOP concepts and design patterns indicating strong software engineering fundamentals.
Able to collaborate effectively within Agile teams and across multiple technical domains (ETL, microservices, data science).