
Data Modeler and ETL Specialist
5 days ago
As a Senior Data Engineer, you will be responsible for designing and developing data models, ETL processes, and data pipelines using Snowflake.
The ideal candidate will have 3-6 years of experience in data engineering and management, with a strong background in data modeling tools and techniques.
You should be experienced in working with Snowflake DB, including SnowSight and Snowpipes, as well as MS SQL Server and Cosmos DB.
Azure MSBI Architect/Develop Experience is also highly desirable, along with Google Analytics and Social Media Analytics experience.
Key Responsibilities:
- Design and develop data models and ETL processes using Snowflake.
- Develop and manage data pipelines.
- Implement database management systems for custom developed and purchased business applications.
Requirements:
- 3-5+ years of experience in data engineering and management.
- Experience with Snowflake DB (Strong programming knowledge using Snowflake, SnowSight and Snowpipes).
- Experience with data modeling tools and techniques, including Kimball Method best practices.
- Experience in the use of machine learning methods, such as linear regression and correlation.
What We Offer:
- Opportunity to work with cutting-edge technologies.
- Chance to contribute to the development of innovative projects.
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