About the Role
Enhance analytical capabilities as an Analytics Engineer focusing on data pipelines and reporting. Use dbt, Snowflake, and Airflow to improve data accessibility and insights across the organization.
As part of a dynamic team, you will manage the analytics data stack, collaborating with various departments to ensure accurate data representation and enablement of self-serve analytics. Your role will involve evolving core data models and advocating for solid data governance practices to ensure high-quality outcomes.
Key Responsibilities:
• Build and optimize data pipelines for analytics
• Define key metrics with cross-functional collaboration
• Ensure best practices in testing and data observability
• Contribute to data governance and documentation efforts
• Mentor team members on data processes and tools
Requirements:
• 4–6 years of experience in analytics engineering
• Strong SQL skills and experience with data models
• Proven experience with dbt and pro...
As part of a dynamic team, you will manage the analytics data stack, collaborating with various departments to ensure accurate data representation and enablement of self-serve analytics. Your role will involve evolving core data models and advocating for solid data governance practices to ensure high-quality outcomes.
Key Responsibilities:
• Build and optimize data pipelines for analytics
• Define key metrics with cross-functional collaboration
• Ensure best practices in testing and data observability
• Contribute to data governance and documentation efforts
• Mentor team members on data processes and tools
Requirements:
• 4–6 years of experience in analytics engineering
• Strong SQL skills and experience with data models
• Proven experience with dbt and pro...
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