Data Architect Retail Analytics

Position: Data Architect for Retail Analytics
Shape retail data strategies as a Data Architect at Tredence, leveraging Google Cloud Platform. Enhance data pipelines and analytics for actionable business insights.

This role requires 10–15 years in data engineering, emphasizing GCP tools like Big Query and Data Flow. The position calls for advanced skills in Python and SQL, and collaboration with data scientists and engineers to drive seamless data operations. Your goal will be to create scalable solutions that support AI and analytics projects.

Key Responsibilities:

• Develop and maintain data workflows in GCP Composer

• Architect solutions for data storage with Big Query

• Optimize data processing using Data Flow and Data Proc

• Collaborate on advanced analytics solutions

• Document governance processes and ensure compliance

Requirements:

• 10–15 years of experience in data engineering

• Expertise in GCP services and tools

• Proficiency in Python and SQL programming

• Bachelor’s degree in relevant field

• Excellent problem-solving and communicative skills

Empower your career with impactful data engineering work tailored for the retail sector.
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