- 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 setting and communicate effectively with stakeholders.
- Strong understanding of data modeling concepts and database design principles.
- Familiarity with agile development methodologies and version control systems.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer with healthcare domain (Hyderabad)
🏢 Diverse Lynx
📍 Hyderabad