Job Description & How to Apply Below
Join a growing global data ecosystem as a Senior Data Engineer focused on cutting-edge data stack technologies in a fully remote role.
In this capacity, you will design and maintain scalable data pipelines while implementing effective Medallion architecture. Collaborating with diverse teams, you will enhance data quality and accessibility, impacting critical business insights across a global platform.
Key Responsibilities:
• Create scalable data pipelines using DBT, Airflow, and Snowflake
• Evolve Medallion architecture for efficient data organization
• Optimize ETL/ELT workflows, integrating various data sources
• Strengthen data modeling practices for reliability
• Collaborate cross-functionally to translate data into insights
Requirements:
• Proficient in SQL and Python for engineering tasks
• Practical DBT experience including model development
• Knowledge of Snowflake or similar data warehouse tools
• Proven background in scalable data solutions
• Effective in remote, cross-functional team environments
Transform data-driven insights and enhance global product strategies with your expertise.
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Position Requirements
10+ Years
work experience
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