





Tier-1 brand and junior data title increase applicants, but Scala/PySpark specialization limits density.
Technical stack is transferable across industries, but Scala/PySpark and healthcare context moderately restrict fit.
Specific Scala, PySpark and Azure requirements make technical fit important despite low years requirement.
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Develop and enhance algorithms based on business logic within Azure environment.
Automate existing processes using AI use cases and integrate innovation to improve project deliverables.
Collaborate effectively with business teams to translate requirements into technical solutions.
Graduate degree or equivalent experience.
At least 1 year of overall experience in Data Analytics.
Minimum 1 year of coding experience specifically with Scala and PySpark.
Solid experience working with Azure Cloud platforms; knowledge of CI/CD and Agile methodologies required.
Experienced in translating business requirements into technical algorithms and automation projects on cloud platforms.
Has hands-on experience with AI technologies and large language models (LLMs).
Comfortable engaging with business stakeholders to discuss and align on technical solutions.