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Tier-1 brand, mid-level data engineer, metro location, and broad skillset create high candidate competition.
Requires Snowflake/Azure and healthcare-focused analytics experience, moderately limiting cross-industry transferability.
Explicit 5+ years plus mandatory Azure, Snowflake, SQL, and ML skills enforce strict shortlisting.
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Lead development and deployment of advanced machine learning and statistical models for healthcare problems.
Design and implement scalable data pipelines and ETL workflows using Snowflake/Data Lake and Azure Stack.
Collaborate with global stakeholders on product strategy and mentor the data science team to enhance technical capabilities.
5+ years of relevant experience in data analytics, data engineering, and machine learning solutions.
Bachelor of Engineering degree mandatory.
Proficient in SQL with strong knowledge of dimensional modeling; experience with Azure Stack and Snowflake required.
Experience in creating dashboards using Power BI or Tableau; programming skills in Python or R preferred.
Experienced in applying advanced statistical, machine learning, and predictive modeling techniques in healthcare data analytics.
Skilled in designing scalable data integration strategies and working cross-functionally with global teams.
Demonstrates ability to lead AI-focused research projects and mentor technical teams.