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Popular data-engineer title, metro Hyderabad location, and broad Azure/ETL skill requirements increase competition.
Core data engineering skills (ETL, Azure, SQL) are broadly transferable across industries despite healthcare context.
Multiple mandatory Azure, ETL and orchestration technology requirements imply moderate shortlisting strictness.
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Design and model data lake solutions and data ingestion pipelines for digital transformation initiatives.
Own and ensure continuity of data engineering solutions and automated data processes within Healthcare Intelligence.
Collaborate with Software Engineers, Data Scientists, Azure & Network teams to build scalable, compliant data systems and serve as SME for Data Engineering.
Experience required in ETL tools like Informatica, DataStage, or Ab Initio and reporting tools like PowerBI or Tableau.
Proficient in Linux/Unix scripting, Python, SQL queries, database concepts, and cloud data onboarding.
Experience with Azure technologies including Datalake ADLSGen2, DataBricks, Azure Data Factory, Azure SQL, and Azure Synapse.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in building and automating scalable data orchestration pipelines on Azure with monitoring and optimization skills.
Ability to independently handle end-to-end data solutions and prepare client-ready deliverables with minimal supervision.
Comfortable navigating ambiguous, fast-changing environments and collaborating with multiple stakeholders across data science and engineering domains.