Sr. Data Engineer

Title: Senior Data Engineer (Snowflake and Data\-bricks) \- On\-Site
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Location: Santa Clara, CA
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• Strong hands\-on experience in data engineering using <\/span> Snowflake <\/b> <\/span> and <\/span> Databricks <\/b> , with proven ability to build and optimize large\-scale data pipelines.
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• Deep understanding of <\/span> data architecture principles <\/b> , including ingestion, transformation, storage, and access control.
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• Solid experience in <\/span> system design and solution architecture <\/b> , focusing on scalability, reliability, and maintainability.
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• Expertise in <\/span> ETL\/ELT pipeline design <\/b> , including data extraction, transformation, validation, and load processes.
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• In\-depth knowledge of <\/span> data modeling techniques <\/b> <\/span>(dimensional modeling, star, and snowflake schemas).
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• Skilled in optimizing compute and storage costs across Snowflake and Databricks environments.
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• Strong proficiency in <\/span> administration <\/b> , including database design, schema management, user roles, permissions, and access control policies.
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• Hands\-on experience implementing <\/span> data lineage, quality, and monitoring frameworks <\/b> .
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• Advanced proficiency in <\/span> SQL <\/b> <\/span> for data processing, transformation, and automation.
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• Experience with <\/span> reporting and visualization tools <\/b> <\/span> such as Power BI and Sigma Computing.
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• Excellent communication and collaboration skills, with the ability to work independently and drive technical initiatives.
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