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Accountabilities:

  • Design, develop, and optimize data architecture and pipelines aligned with ETL/ELT principles.
  • Architect workflows using DBT to convert raw data into actionable analytics.
  • Maintain production data pipelines with Python, DBT, Matillion, and Snowflake.

Requirements:

  • 8+ years of professional data engineering experience, including 3 years in a senior role.
  • Expertise in Snowflake architecture and optimization.
  • Advanced proficiency in Python and data pipeline development.

Benefits:

  • Compensation commensurate with experience.
  • Robust benefits package.
  • Continuous learning and professional development opportunities.

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