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Tier-1 employer, Bangalore metro, mid-level generalist data/ML engineer role increases competition.
Core data engineering and ML skills are transferable, but healthcare advisory context raises domain specificity.
Explicit 5+ years plus mandatory Azure, Snowflake, SQL, and ML skills make shortlisting strict.
Lead development of advanced ML and statistical models addressing complex healthcare problems.
Design and implement scalable data pipelines and integration strategies using Snowflake/Data Lake and Azure services.
Collaborate with global stakeholders to influence strategy and mentor data science team members.
5+ years of experience in data analytics, data engineering, and machine learning solutions.
Strong expertise in Azure Stack services, Snowflake, and SQL with dimensional modeling knowledge.
Bachelor of Technology degree required.
Experience with Power BI or Tableau for creating interactive dashboards.
Experienced in healthcare-related data science or AI projects with a focus on ML and statistical modeling.
Skilled in developing scalable ETL workflows and implementing advanced AI research techniques.
Able to communicate complex technical concepts clearly to diverse audiences and mentor technical teams.