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Experient Group

Senior Snowflake Data Engineer

Data EngineeringUpdated on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Eight to ten years of experience in data engineering with Snowflake.
  • Snowflake certifications are required.
  • Hands-on Snowflake experience and the ability to execute tactical work.
  • Experience with thought leadership, defining future-state architecture, setting technical design principles, and aligning the team on technical direction.
  • Familiarity with Snowflake Cortex.
  • Extensive dbt experience.
  • Advanced SQL and Snowflake SQL skills.
  • Cloud platform proficiency.
  • Knowledge of big data technologies such as Hadoop, Spark, and Kafka, and data visualization tools such as Power BI, QlikSense, and Superset.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.

Responsibilities

  • Build, enhance, and support multiple high-volume data pipelines used to process business-critical order transaction data.
  • Perform hands-on database work and execute tactical work.
  • Contribute thought leadership, define future-state architecture, set technical design principles, and align the team on technical direction.
  • Design, implement, and maintain ELT/ETL pipelines using Snowflake, dbt, and orchestration tools.
  • Create and optimize star and snowflake schemas to ensure data integrity and scalability.
  • Write complex SQL queries, optimize queries for performance, and troubleshoot issues.
  • Integrate Snowflake with cloud platforms including AWS, Azure, and GCP, and third-party tools such as Alation and Power BI.

Desired Qualifications

  • Python.
  • Apache Airflow.

About the Company

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