
Senior Data Solutions Architect
2 days ago
Job Opportunity:
- Lead the development of a data-driven platform for reporting and analytics in healthcare.
- Design and build scalable data solutions using Databricks, SQL, Python, Spark, and Delta Lake on Azure cloud services.
- Evaluate and implement best practices for extracting, transforming, and loading (ETL) and elastic data transformations (ELT).
- Collaborate with cross-functional teams to integrate data with business intelligence tools like Tableau and Power BI.
- Oversee continuous integration and deployment (CI/CD), testing, infrastructure-as-code, and monitoring tools.
- Adhere to industry-leading codes of conduct and compliance policies.
Key Responsibilities:
- Minimum 8 years of data engineering experience, with at least 3 years in senior roles.
- Strong expertise in PySpark, Scala, SQL, Python, and Azure, with Databricks experience preferred.
- Familiarity with Databricks integrations like Delta Live Tables and Auto Loader.
- Proficiency in Spark, Pandas, and NumPy libraries.
- Passionate about mentoring and building secure, scalable data solutions that drive business growth.
About the Role:
Make a significant impact on patient care by driving innovation in revenue cycle management with cutting-edge data technology.
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