Data Engineer Focusing on Retail Solutions and AI Innovations

Shape the future of retail with your expertise in data engineering. Leverage powerful tools to design scalable data pipelines and transform complex analytics for business insights.

In this role, you will be at the forefront of the data engineering landscape, focusing on pipeline development, data optimization, and cross-functional collaboration. You should possess 3–5 years of experience in data engineering, and a passion for using SQL and Python to drive innovative solutions. Your work will empower business teams with accurate, actionable data to enhance customer experiences.

Key Responsibilities :

• Design and maintain scalable data pipelines and ETL processes
• Optimize tables and views for business analytics
• Implement AI tools to automate workflows
• Collaborate with teams on data insights and reporting
• Ensure data quality and governance across datasets

Requirements :

• Bachelor’s in Computer Science or related field
• 3–5 years in data engineering or similar
• Proficient in SQL and Python
• Familiar with Google Cloud Platform
• Knowledge of AI platforms beneficial

Elevate retail data capabilities through innovative engineering, transforming insights that drive business success.

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