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Tier-1 brand plus a mid-senior software title with common tech and Snowflake specialization yields medium competition.
Core data engineering skills transfer well, but healthcare compliance and Snowflake specialization increase domain sensitivity to medium.
Explicit 7-12 years and mandatory Snowflake, Java/AWS, and regulatory experience enforce high shortlisting strictness.
Design, develop, and maintain cloud-based oncology SaaS platform components, including patient and clinician-facing applications and scalable backend services on AWS.
Build and optimize Snowflake-based data warehouse solutions, including dimensional data models, ETL/ELT pipelines, and analytics datasets to support reporting and KPIs.
Lead product development in an Agile environment including architecture discussions, testing, deployments, and collaboration with data engineers and product teams.
7-12 years of related software engineering experience.
Degree in BE, MSc, MCA, Computer Science, or related discipline.
Strong hands-on experience with Snowflake data warehouse, SQL performance optimization, and ETL/ELT pipelines.
Proficiency with Java/Kotlin, Spring Boot, AWS cloud services, Agile methodologies, and familiarity with healthcare standards like IEC 62304, ISO 13485, HIPAA, or GDPR.
Experienced full-stack or backend engineer with proven ability to deliver scalable SaaS applications in healthcare domain.
Able to provide technical leadership within Agile teams, contributing to all SDLC phases including testing, code review, and production support.
Comfortable working with AI-assisted development tools and integrating advanced analytics and data solutions in healthcare SaaS environments.