Chief Data Pipeline Architect
4 hours ago
This is an exciting opportunity for a Data Engineer to join our organization. As a key member of the team, you will be responsible for designing, developing, and maintaining data warehouses and data pipelines using Snowflake DB.
The ideal candidate will have a strong background in data engineering and management, with experience in designing efficient and scalable data models. They should also have expertise in developing and implementing complex SQL queries across large data sets.
Responsibilities include managing and optimizing data pipelines for improved performance, as well as collaborating with cross-functional teams to integrate data solutions into business applications.
Requirements:
- 3-5+ years of experience in data engineering and management.
- Strong programming knowledge using Snowflake, SnowSight, and Snowpipes.
- Experience with data warehouse, OLAP/Cube, Tabular Model/Cube design using Kimball Method best practices.
- Knowledge of machine learning methods, including linear regression, correlation, and statistical modeling.
- Experience with MS SQL Server, Cosmos DB, and Azure MSBI Architect/Developer.
Preferred Qualifications:
- Master's degree in Data Science or related field.
- Experience with Azure DW, ADF, and ADLS.
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