
Transforming Healthcare Through Data Engineering Excellence
1 week ago
We are seeking an experienced data engineering professional to lead the development of scalable data solutions using cutting-edge technologies like Databricks, SQL, and Azure.
- The ideal candidate will possess strong expertise in PySpark, Scala, SQL, Python, and Azure, with experience working on large-scale data projects.
- Experience with Databricks integrations like Delta Live Tables and Auto Loader is a plus.
- Skill in Spark, Pandas, and NumPy is required.
This role offers a unique opportunity to work on high-impact projects that drive innovation in healthcare revenue cycle management.
You will have the chance to collaborate with cross-functional teams to integrate data with various tools and systems.
This position requires a strong passion for data engineering, excellent problem-solving skills, and the ability to communicate complex ideas effectively.
Key Responsibilities:- Design and implement scalable data architectures using Databricks, SQL, and Azure.
- Collaborate with teams to ensure data quality, integrity, and compliance.
- Develop and maintain efficient data operations using CI/CD, testing, infrastructure-as-code, and monitoring tools.
This position offers a competitive compensation package, comprehensive benefits, and opportunities for growth and professional development. Join our team and be part of shaping the future of healthcare data management.
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