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Tier-1 brand, common data engineering title, broad skills, and likely metro hiring increase applicant competition.
Core data engineering skills are transferable, though healthcare-specific privacy/security needs increase domain sensitivity.
No explicit years but multiple mandatory cloud, Hadoop/Spark and programming requirements make screening moderately strict.
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Architect and design scalable, secure data engineering solutions, ensuring adherence to best practices and design patterns.
Perform proof of concepts (POCs) to validate design choices and technologies meet requirements.
Migrate existing data pipelines to Azure Public Cloud and troubleshoot issues across diverse technologies and environments.
Graduate degree or equivalent experience.
Experience with cloud platforms like AWS and Microsoft Azure.
Programming skills in Python, Java, and SQL; experience with big data technologies such as Apache Hadoop and Apache Spark.
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in cloud-based data engineering with a focus on Azure cloud migration and architecture.
Proficient in designing and implementing scalable, secure data solutions leveraging big data technologies and modern programming languages.
Experienced in troubleshooting complex data environments and following agile software development practices.