About The Position

The Sr. Snowflake Engineer will design and develop scalable data pipelines using Snowflake and optimize and maintain Snowflake data warehouse performance. The role collaborates with data analysts and scientists to understand data requirements and ensures data integrity, security, and compliance. It also involves monitoring and troubleshooting data pipeline issues, implementing data management and storage best practices, performing data migrations and transformations, and creating and maintaining documentation for data processes. This is an onsite position in Dallas, Texas, and is listed as local candidates only. The stated duration is 6–12 months.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • At least 3 years of experience in data engineering or a related role.
  • Proven experience with Snowflake and SQL.
  • Strong understanding of data warehousing concepts and ETL processes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work in a fast-paced, dynamic environment.
  • Skills in Snowflake, SQL, ETL, AWS, Azure, Google Cloud, data warehousing, data pipeline development, performance optimization, data security, Python, and shell scripting.

Responsibilities

  • Design and develop scalable data pipelines using Snowflake.
  • Optimize and maintain Snowflake data warehouse performance.
  • Collaborate with data analysts and scientists to understand data requirements.
  • Ensure data integrity, security, and compliance.
  • Monitor and troubleshoot data pipeline issues.
  • Implement best practices for data management and storage.
  • Perform data migrations and transformations.
  • Create and maintain documentation for data processes.
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