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Tier-1 brand, metro location, and a mid-level generalist Data Engineer title increase applicant competition.
Requires specific data engineering, Snowflake/Azure and ML expertise, so cross-industry transferability is limited.
Multiple mandatory technical filters (5+ years, Azure, Snowflake, SQL, ETL, ML) indicate high shortlisting strictness.
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Lead development and deployment of advanced ML and statistical models to solve complex healthcare problems.
Design and implement scalable data pipelines and ETL workflows on Snowflake/Data Lake and Azure Stack platforms.
Collaborate with global stakeholders to influence product strategy and mentor data science team members.
5+ years of experience in data analytics, data engineering, and machine learning solutions.
Proficiency with Azure Stack services, Snowflake, and SQL with deep knowledge of dimensional modeling.
Bachelor of Engineering degree.
Experience creating interactive dashboards using Power BI or Tableau.
Experienced in healthcare analytics and able to translate healthcare challenges into scalable data science solutions.
Strong programming skills in Python or R with advanced knowledge of machine learning and predictive modeling.
Capable of mentoring technical teams and communicating complex technical concepts to diverse audiences.