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Advanced Data Pipeline Architect

Summary

Design and build large-scale data pipelines using BigQuery and Python to power analytics and reporting for a retail-focused company.

Elevate data engineering practices as a Senior Data Engineer. Focus on designing sophisticated data pipelines and ensuring quality across analytics and reporting environments. Your role will involve actively leading architectural decisions in designing data ingestion, processing, and serving. Partner with diverse teams to address their data needs, ensuring that you build robust infrastructures that support large-scale operations. With experience in technologies such as BigQuery and Python, you'll foster a data-centric culture driven by insights. Key Responsibilities: • Design and implement large-scale data pipelines • Optimize data processing and reporting workflows • Conduct architecture reviews and mentor peers • Develop and maintain testing strategies for data integrity • Support comprehensive analytics and reporting needs Requirements: • BA/BS in relevant field such as computer science • 5+ years of data engineering experience • Strong background in SQL and query performance • Experience with various cloud environments • Excellent communication and stakeholder management Drive data innovation by architecting powerful data solutions that enhance analytics capabilities across the organization.

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