
Principal Data Engineering Specialist
3 days ago
About this Position
- Develop scalable data pipelines using cloud-based technologies to drive business value.
We are seeking a highly skilled Data Modeler to collaborate with cross-functional teams. The ideal candidate will bring expertise in healthcare data modeling, consulting, and cloud-based data engineering.
The successful candidate will have:
- 7+ years of hands-on experience in data engineering and cloud platforms.
- Strong expertise in Azure, Databricks, Apache Kafka, Snowflake, and other cloud-native technologies.
- Proven experience in data warehousing, ETL/ELT design, and data modeling.
- Solid understanding of cloud architecture, data governance, and security best practices.
- Experience working in consulting environments with direct client interaction.
- Strong experience in healthcare data modeling, especially in payer modules.
- Proficiency in data modeling tools such as ER/Studio, Erwin Data Modeler, or similar.
As a Data Modeler, you will:
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality, integrity, and security across all data platforms.
- Perform advanced data transformations, cleansing, and enrichment to support analytics and reporting needs.
- Monitor and troubleshoot data pipeline performance and reliability.
- Document technical designs, processes, and best practices.
This role offers the opportunity to work on complex data engineering projects, develop your skills, and contribute to the success of our team.
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