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1 week ago
We are seeking an experienced Lead Data Engineer to lead the development of a self-service data platform for reporting and analytics in our revenue cycle management organization. The successful candidate will have 10+ years of experience in data engineering, with strong skills in PySpark, Scala, SQL, Python, and Azure, including Databricks experience.
Key Responsibilities:- Data Platform Development: Develop and lead the development of a scalable data platform using Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- ETL/ELT and Data Quality: Ensure best practices for ETL/ELT and data quality, collaborating with teams to integrate data with tools like Tableau, Power BI, and APIs.
- CI/CD and Monitoring: Manage CI/CD, testing, infrastructure-as-code, and monitoring tools.
- 8+ years data engineering experience, 3+ years in senior roles.
- Strong skills in PySpark, Scala, SQL, Python, and Azure, with Databricks experience preferred.
- Experience with Databricks integrations like Delta Live Tables and Auto Loader.
- Skilled in Spark, Pandas, and NumPy.
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