
Data Modeling Expert for Large Scale Data Warehouses
1 day ago
Job Overview
We are seeking a seasoned Data Modeling Expert to lead the design and implementation of large-scale data warehouses. The ideal candidate will have 3-5+ years of experience in data engineering, with a strong focus on data modeling, ETL, and Snowflake.
- Develop complex data pipelines using Snowpipe and SnowSight to drive business insights.
- Maintain large-scale data warehouses using Kimball Method best practices to ensure optimal performance.
- Collaborate with cross-functional teams to design and implement machine learning models using linear regression, correlation, and statistical modeling.
- Optimize SQL queries across large datasets to manage data pipeline performance.
- Prior experience with Azure MSBI, Google Analytics, and Social Media Analytics is desired.
About the Role
The Data Modeling Expert will be responsible for designing and implementing complex data pipelines, maintaining large-scale data warehouses, and collaborating with cross-functional teams to design and implement machine learning models.
Requirements
To be successful in this role, you will need:
- 3-5+ years of experience in data engineering and management.
- Strong programming knowledge using Snowflake, SnowSight, and Snowpipes.
- Experience with data modeling tools and techniques, including Kimball Method best practices.
- Experience with machine learning methods, such as linear regression, correlation, and statistical modeling.
- Experience with MS SQL Server, Cosmos DB, and Azure DW.
What We Offer
A competitive salary and benefits package, as well as opportunities for professional growth and development.
Key Responsibilities
- Design and implement complex data pipelines to meet business requirements.
- Maintain large-scale data warehouses to ensure optimal performance.
- Collaborate with cross-functional teams to design and implement machine learning models.
- Optimize SQL queries to manage data pipeline performance.
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