Vacancy Description
Elevate your career as a Senior Analytics Engineer with GoBolt, a leader in sustainable logistics based in Downtown Toronto. Join a hybrid team driving cutting-edge analytics and innovative solutions for ecommerce.
In this pivotal role, you'll transform complex logistics data into high-performance models using dbt, SQL, and Python. With a focus on building modular, scalable systems, you will act as the backbone of GoBolt’s data platform while leading architectural advancements. Your work will ensure data integrity and reliability, achieving excellence in our analytics processes.
Key Responsibilities:
• Lead design and architecture of dbt projects
• Build robust dimensional models for data warehouses
• Develop custom ETL extractors using Python
• Optimize BI performance with Looker and Metabase
• Advocate for best practices in CI/CD and data quality
Requirements:
• 3 to 5 years in Analytics Engineering or Data Engineering
• Expertise in dbt, SQL, and Python...
In this pivotal role, you'll transform complex logistics data into high-performance models using dbt, SQL, and Python. With a focus on building modular, scalable systems, you will act as the backbone of GoBolt’s data platform while leading architectural advancements. Your work will ensure data integrity and reliability, achieving excellence in our analytics processes.
Key Responsibilities:
• Lead design and architecture of dbt projects
• Build robust dimensional models for data warehouses
• Develop custom ETL extractors using Python
• Optimize BI performance with Looker and Metabase
• Advocate for best practices in CI/CD and data quality
Requirements:
• 3 to 5 years in Analytics Engineering or Data Engineering
• Expertise in dbt, SQL, and Python...
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