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Snowflake Data Engineer

Salary undisclosed

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Tittle: Snowflake Data Engineer Location: VA

Key Responsibilities:
Heavy SQL and Snowflake expertise required.
Manages data pipelines and optimizes database queries for performance.
Works on data warehousing solutions, ensuring efficient data storage and retrieval.
Needs hands-on experience with enterprise data architecture and large-scale databases and datawarehouses
Should be comfortable working independently, taking tasks from start to finish without hand-holding.
No industry preference, but candidates should have enterprise-level experience.

Required Qualifications & Experience:
8+ years of experience in database engineering, data warehousing, and business intelligence.
5+ years managing data warehouses in production environments, covering all phases of lifecycle management (planning, design, deployment, upkeep, and retirement).
5+ years of experience managing distributed teams (including a mix of employees and vendors).
5+ years managing offshore vendors in a global environment.
Strong knowledge of star and snowflake schemas, as well as data integration methods and tools.
Hands-on experience with Talend, SQL, and Snowflake data warehousing.
Financial services experience is a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Tittle: Snowflake Data Engineer Location: VA

Key Responsibilities:
Heavy SQL and Snowflake expertise required.
Manages data pipelines and optimizes database queries for performance.
Works on data warehousing solutions, ensuring efficient data storage and retrieval.
Needs hands-on experience with enterprise data architecture and large-scale databases and datawarehouses
Should be comfortable working independently, taking tasks from start to finish without hand-holding.
No industry preference, but candidates should have enterprise-level experience.

Required Qualifications & Experience:
8+ years of experience in database engineering, data warehousing, and business intelligence.
5+ years managing data warehouses in production environments, covering all phases of lifecycle management (planning, design, deployment, upkeep, and retirement).
5+ years of experience managing distributed teams (including a mix of employees and vendors).
5+ years managing offshore vendors in a global environment.
Strong knowledge of star and snowflake schemas, as well as data integration methods and tools.
Hands-on experience with Talend, SQL, and Snowflake data warehousing.
Financial services experience is a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job