Description:

HealthAsyst is a recognized IT service and product provider for leading healthcare vendors in the US, specializing in innovative product engineering, analytics, and healthcare IT. The Cloud Engineer – AI Data role focuses on designing, building, and maintaining complex data pipelines and ETL processes to support analytics, reporting, and healthcare integrations. This position demands expertise in Python, SQL, NoSQL databases, cloud platforms, and data visualization, along with strong communication and collaborative skills to deliver actionable insights and ensure data quality. Familiarity with healthcare data management and compliance is a plus.

Key Responsibilities:

• Design, build, and maintain data pipelines and ETL processes for healthcare data.
• Develop and optimize databases and data warehouses.
• Implement robust data models and schemas for analytics and reporting.
• Build scalable software applications and APIs for data access/integration.
• Develop front-end visualizations for user interfaces.
• Ensure data integrity, governance, and compliance with healthcare standards.

Key Technical Skills:

Python, SQL, NoSQL, Apache Spark, Hadoop, AWS, Azure, GCP, Docker, Kubernetes, HTML, CSS, JavaScript, Front-end frameworks, Data modeling, ETL, Data warehousing, Data visualization, Healthcare data management, HIPAA, DICOM

Requirements:

• Graduate degree in Computer Science or related field.
• 3+ years’ industry experience in cloud data engineering.
• Proven proficiency in Python and advanced SQL/NoSQL.
• Familiarity with data processing frameworks (Apache Spark/Hadoop).
• Experience with cloud platforms and containerization.
• Strong communication and collaboration skills.
• Ability to analyze complex datasets and derive insights.
• Knowledge of healthcare data standards is highly desirable.