Data Engineer with healthcare domain

• Design and develop data pipelines using Python, PySpark, and AWS services.

• Collaborate with cross-functional teams to integrate data from various sources into a unified platform.

• Develop and maintain databases using SQL to support business intelligence and analytics.

• Work closely with stakeholders to identify and prioritize data requirements for healthcare applications.

• Ensure data quality and integrity by implementing robust testing and validation procedures.

• Optimize data processing workflows to improve performance and efficiency.

Job Requirements

• Strong proficiency in Python, PySpark, AWS services, SQL, and healthcare-related technologies.

• Experience working with large datasets and developing scalable data architectures.

• Excellent problem-solving skills and attention to detail.

• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

• Strong understanding of data modeling concepts and database design principles.

• Familiarity with agile development methodologies and version control systems.

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