We are looking for an experienced Data Engineer with solid expertise in Python, SQL, Snowflake, and PySpark to design, develop, and optimize scalable data pipelines and data warehouse solutions.
Must-Have Skills:
Advanced Python and SQL for data processing and transformations.
Robust understanding of Snowflake architecture, query optimization, and performance tuning.
Hands-on experience with PySpark and distributed data processing.
Expertise in data modelling and data warehouse design.
Experience with CI/CD pipelines, version control, and automated deployments.
Positive to Have:
Apache Kafka for real-time data processing.
dbt for data transformations and testing.
Knowledge of healthcare data controls, data privacy, and quality standards.