Data Engineer for Scalable Solutions
5 days ago
About Brightwater Capital, LLC
We are a leading information and technology-enabled health services business. Our mission is to modernize the healthcare system and improve lives by serving virtually every dimension of the health system.
Position Overview
We are seeking an experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for developing and delivering scalable data solutions using Azure Databricks, Azure Data Lake, and Azure Cosmos DB.
Key Responsibilities
- Design and implement efficient data pipelines using Azure Databricks and Azure Data Lake.
- Create and maintain ETL workflows to ensure data quality, integrity, and availability.
- Optimize graph ETL pipelines/queries for high performance and cost-efficiency.
- Coach junior data engineers on technologies like Azure Databricks and graph data modeling.
- Demonstrated ability to manage and analyze data at scale within the Azure ecosystem.
- Implement CI/CD pipelines using Azure DevOps to streamline deployment processes.
- Conduct code reviews, provide mentorship, and facilitate knowledge sharing sessions within the team.
Required Qualifications
To be successful in this role, you should have:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 7+ years of experience in data engineering or related roles.
- 5+ years of experience in Azure Databricks, Azure Data Lake, and engineered delivery of a graph product in previous roles.
- Proficient in programming languages such as Python, SQL, and Scala.
- Experience with big data technologies including Apache Spark, Hadoop, and Hive.
- Hands-on experience with cloud platforms, particularly Microsoft Azure.
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