Description

Build and optimize data infrastructure to support decision-making in healthcare and insurance.

Responsibilities

• Develop, maintain, and optimize ETL processes and data pipelines for healthcare data.
• Extract, transform, and load data from multiple sources using Python, PySpark, SQL, and AWS.
• Conduct data analysis to ensure data quality, integrity, and accuracy.
• Automate data management processes using Shell scripting.
• Collaborate with cross-functional teams to implement data solutions based on specific requirements.

Required Skills

• 12+ years of IT experience, including at least 10+ years in data engineering.
• Hands-on experience within the healthcare domain and understanding of healthcare data.
• Proficiency in Python for large-scale data processing.
• Expertise in PySpark and SQL.
• Experience managing workloads within AWS.
• Proficiency in Shell scripting.
• Strong data analysis skills.
• Ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate