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3 days ago
We are seeking a seasoned data professional to lead the development of our self-service data platform for reporting and analytics.
The ideal candidate will have 8+ years of experience in data engineering, with a strong background in PySpark, Scala, SQL, Python, and Azure. Databricks experience is preferred.
Responsibilities:
- Design and implement scalable data solutions using Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- Ensure best practices for ETL/ELT and data quality.
- Collaborate with teams to integrate data with tools like Tableau, Power BI, and APIs.
- Manage CI/CD, testing, infrastructure-as-code, and monitoring tools.
Requirements:
- Strong analytical skills and ability to mentor junior team members.
- Experience with Databricks integrations like Delta Live Tables and Auto Loader.
- Skilled in Spark, Pandas, and NumPy.
- Passionate about building secure, scalable data solutions.
About this opportunity:
Join us in driving innovation in healthcare revenue cycle management with cutting-edge data technology.
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