
Chief Data Engineer
14 hours ago
Data Engineering Professional Opportunity
- We are seeking a seasoned Data Engineer to design and develop data engineering solutions using Snowflake DB, ETL tools, and data modeling techniques.
- The ideal candidate will have experience with data pipelines, data warehouse design, OLAP/Cube design, and Tabular Model/Cube design using Kimball Method best practices.
- This role requires the ability to develop complex SQL queries across large data sets and manage data pipelines.
- Additionally, the candidate should be able to implement Database Management Systems for custom developed and purchased business applications.
- Familiarity with Azure MSBI Architect/Develop Experience, Google Analytics, and Social Media Analytics is desired.
About this Role
- This position requires 3-5+ years of experience in data engineering and management.
- The successful candidate will have strong programming knowledge using Snowflake, SnowSight, and Snowpipes.
- Experience with data modeling tools and techniques, including data warehouse, OLAP/Cube, and Tabular Model/Cube design, is essential.
- The ideal candidate will also have familiarity with machine learning methods, such as linear regression, correlation, and statistical modeling.
- MS SQL Server and Cosmos DB experience is required, while Azure MSBI Architect/Develop Experience (Azure SQL DB, ADLS, Azure DW, ADF) is a plus.
Key Responsibilities
- Design and develop data engineering solutions.
- Implement Database Management Systems.
- Manage data pipelines.
- Develop complex SQL queries.
Requirements
- 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.
- Familiarity with machine learning methods.
- MS SQL Server and Cosmos DB experience.
- Azure MSBI Architect/Develop Experience (Azure SQL DB, ADLS, Azure DW, ADF) is a plus.
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