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Airflow - Snowflake Data Engineer

Salary undisclosed

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Airflow - Snowflake Data Engineer

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Description

  • 12+ years overall IT experience.
  • 6+ years of experience in AWS data engineering and very strong in data pipeline solution design.
  • Extensive experience with AWS services such as S3, Managed Airflow (MWAA), Glue, Lambda, Redshift and IAM.
  • 3+ years of proven experience with Snowflake, including database design, data loading, and query optimization.
  • Strong proficiency in Python for data manipulation, ETL processes, and automation.
  • Proficient in SQL and experience with data warehousing concepts.
  • Knowledge of data governance and best practices in data security and privacy.
  • Provide technical leadership and guidance to the data engineering team.
  • Proven track record of designing and implementing data solutions at scale.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Strong communication skills, both written and verbal, with the ability to explain technical concepts.
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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