Qualifications

• 10+ years of experience in developing data solutions.
• Proven experience in designing and implementing large-scale data pipelines.
• Hands-on expertise with AWS cloud technologies and distributed systems.
• Strong programming skills in PySpark, Python, and SQL.
• Bachelor's or Master's in Computer Science, Information Systems, or related fields.
• AWS certification preferred.
• Healthcare domain experience is a plus.

Responsibilities

• Design and implement scalable data pipelines for structured and unstructured data.
• Lead module architecture design for optimal performance, reliability, and maintainability.
• Mentor team members and ensure alignment with business goals.
• Collaborate with cross-functional teams to enable real-time and batch data processing.
• Ensure adherence to data security, privacy, and governance standards.
• Create and maintain technical documentation for architectures and decisions.
• Conduct code reviews and establish best practices.
• Develop monitoring systems for data pipeline reliability.
• Drive adoption of new technologies and workflows.

Benefits

• Comprehensive health coverage for employees and their families.
• Flexible working hours and remote work options.
• Opportunities for continuous professional development and training.
• Supportive environment that fosters innovation and teamwork.
• Employee wellness programs and resources.