
Senior Cloud Data Engineer
3 days ago
About this role:
We are seeking an experienced data modeler to join our team. The ideal candidate will bring deep expertise in cloud-based data engineering, healthcare data modeling, and consulting with strong backgrounds in Azure, Databricks, Kafka, and Snowflake.
- Design, develop, and optimize scalable data pipelines using cloud-native technologies such as Azure Data Factory, Databricks, and Kafka.
- Architect and implement robust data warehousing solutions using Snowflake and other cloud-native technologies.
- Collaborate with business stakeholders and advisory consultants 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.
Key skills and qualifications:
- 7+ years of hands-on experience in data engineering and cloud platforms.
- Strong expertise in Azure Data Factory (ADF), Databricks (PySpark, Delta Lake), Apache Kafka,
- 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.
- Demonstrated expertise in conceptual, logical, and physical data modeling practices.
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