Senior Data Engineer

We are seeking a Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and a passion for working with large datasets in the healthcare domain. This role involves designing, developing, and maintaining data pipelines and architectures that support our data analytics and reporting needs. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and secure.

Key Responsibilities:

• Design and implement robust data pipelines using Python and SQL to process and analyze large volumes of data.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Utilize Azure cloud services to build scalable data solutions and manage data storage.
• Implement data masking and synthetic data generation techniques to ensure compliance with healthcare regulations.
• Automate testing processes for data quality and integrity using QE Test Data Automation methodologies.
• Develop and maintain documentation for data processes and architectures.
• Troubleshoot and resolve data-related issues in a timely manner.

Required Skills:

• Proficiency in Python and Java for data processing and automation.
• Strong SQL skills for querying and managing databases.
• Experience with Azure cloud services and data engineering tools.
• Knowledge of US healthcare claims processing and related data management practices.
• Familiarity with Test Data Management (TDM), data masking, and synthetic data generation.
• Experience with shell scripting for automation tasks.
• Strong analytical and problem-solving skills, with attention to detail.

If you are a motivated individual with a passion for data engineering and a desire to make an impact in the healthcare industry, we encourage you to apply for this exciting opportunity.