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Snowflake Engineer

Salary undisclosed

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Required Skills:

  • 5+ years of experience in Snowflake development and administration.
  • Proficient in AWS Glue for ETL processes, data cataloging, and data transformations.
  • Experience with AWS Bedrock for building and integrating AI/ML solutions.
  • Strong understanding of data warehousing concepts, Snowflake architecture, and cloud data solutions.
  • Familiarity with Python/Scala/Java for data processing tasks.
  • Experience with SQL for data querying, optimization, and Snowflake stored procedures.
  • Understanding of cloud infrastructure and security best practices in AWS.
  • Knowledge of CI/CD pipelines and version control tools like Git.
  • Familiarity with data lake architectures and integrating with S3 or similar services.

Preferred Skills:

  • Experience with AWS Redshift and other AWS data services.
  • Hands-on experience with data migration to Snowflake from legacy systems.
  • Knowledge of AI/ML frameworks integrated with Snowflake for advanced analytics.
  • Experience with DevOps tools (Jenkins, Terraform) for managing data workflows in the cloud.
  • Certification in Snowflake or AWS Cloud Practitioner 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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