Principal Azure Data Engineer (12 to 15 yrs) (Python / PySpark / SQL/ DataBricks)

📋 Description

• Develop new Databricks pipelines and enhance, optimize, and support existing production data
• Work with business-critical healthcare data while maintaining close collaboration with business
• Apply data engineering best practices to create high-quality, highly available, intuitive, and
• Define and implement new entities within unified data models to support evolving business and
• Partner with business customers to gather requirements and translate them into new datasets and
• Identify, investigate, and resolve data-quality issues proactively to improve the reliability and

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field; a Master’s
• 12–15 years of overall data engineering or related technology experience, including substantial
• 10+ years of experience working with diverse healthcare datasets such as claims, encounters, ADT
• 8+ years of experience working with cloud-based services across Azure, AWS, or GCP, with strong
• Advanced practical skills in Python, PySpark/Spark, and SQL, including strong debugging
• Strong experience with Databricks pipelines, including developing, enhancing, troubleshooting, and

🎁 Benefits

• Remote work opportunities from India.
• Flexible working hours.
• Stock options and participation in the organization’s long-term growth.
• Benefits that go beyond statutory requirements.
• Friendly, trusting, and collaborative work environment.
• Opportunities to collaborate with experienced technology professionals.