Requirements A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence Quality-oriented, with a strong sense of ownership over data reliability and accessibility Experienced in applying secure, compliant data handling practices in regulated environments Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery) Advanced SQL skills and strong experience with relational and columnar database systems Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi) Solid programming background (Python, Scala, or Java) for data processing and automation Experience in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL Experience designing data models and schemas for both operational and analytical use cases Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments Familiarity with healthcare
