Description

Role Overview:

This role is for a skilled Data Engineer with extensive hands-on experience in Databricks, focusing on building and optimizing scalable data pipelines. The successful candidate will leverage advanced SQL and Python for data transformation and automation, and utilize data visualization tools to deliver critical business insights. A strong understanding of healthcare data models and SAP Supply Chain Management is also essential.

Key Responsibilities:

• Develop and manage scalable data pipelines using Databricks, including Delta Lake and Spark technologies.
• Execute complex data transformation, optimization, and automation tasks with advanced proficiency in SQL and Python.
• Create and implement data visualization solutions using tools such as Tableau or Power BI to provide actionable insights.
• Apply a deep understanding of healthcare data models, claims/clinical datasets, and relevant domain-specific compliance considerations.
• Utilize strong SAP domain expertise, particularly within Supply Chain Management, to inform and enhance data solutions.

Required Skills:

• Strong hands-on experience with Databricks (Delta Lake, Spark).
• Advanced proficiency in SQL and Python for data manipulation and automation.
• Experience with data visualization tools such as Tableau or Power BI.
• Solid understanding of healthcare data models, claims/clinical datasets, and domain-specific compliance.
• Strong SAP domain expertise in Supply Chain Management.

Qualifications:

• [No specific years of experience or educational qualifications were provided in the job description.]

Key Skills

Education

Any Graduate