
Data Engineering Lead
13 hours ago
We are seeking an experienced Senior/Principal Data Engineer to lead the development of our self-service data platform.
The ideal candidate will have a strong background in building scalable data solutions using Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- Design and implement efficient ETL/ELT pipelines with data quality best practices.
- Collaborate with teams to integrate data with business intelligence tools like Tableau and Power BI, as well as APIs.
- Manage CI/CD, testing, infrastructure-as-code, and monitoring tools to ensure seamless operations.
To succeed in this role, you should have:
- At least 8 years of experience in data engineering, with 3+ years in senior roles.
- Proficiency in PySpark, Scala, SQL, Python, and Azure, with a preference for Databricks experience.
- Familiarity with Databricks integrations such as Delta Live Tables and Auto Loader.
- Strong skills in Spark, Pandas, and NumPy.
This is an exceptional opportunity to make a significant impact on healthcare revenue cycle management by driving innovation through cutting-edge data technology.
As a Senior Data Engineer at our organization, you will have the chance to work with talented professionals who share your passion for data-driven insights.
You will be responsible for designing and implementing data solutions that drive business outcomes, and collaborating with cross-functional teams to deliver high-quality results.
Our organization values creativity, collaboration, and continuous learning, and we offer a dynamic work environment that supports professional growth and development.
We are looking for someone who is passionate about data engineering, has excellent problem-solving skills, and can communicate effectively with both technical and non-technical stakeholders.
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