Data Engineer

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience)
Familiarity with Qlik Replicate, Talend, Snowflake PSQL processes and Snowflake for data warehousing
Basic understanding of retail grocery operations, including POS systems, inventory workflows, or customer loyalty programs
Proficiency in SQL/PSQL for querying and data analysis
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills for working in a team environment

Design, develop, and maintain data pipelines to integrate and process data from retail and marketing sources, such as POS, customer loyalty programs, email campaigns, and digital advertising platforms
Support marketing analytics by organizing and managing data within the company’s Snowflake data warehouse, enabling insights into customer behavior and campaign performance
Collaborate with marketing teams to identify data needs and translate them into scalable solutions for targeted campaigns and personalized promotions
Leverage Talend and Snowflake to build efficient ETL workflows, ensuring seamless integration of data across multiple systems
Contribute to the development of dashboards and reports to visualize key marketing metrics, such as customer retention, sales lift, and campaign ROI
Ensure data accuracy, security, and compliance with marketing-related regulations

Exposure to programming languages such as Python or Java
Familiarity with retail-specific metrics like shrinkage rates, basket analysis, or replenishment cycles
Experience with data visualization tools (e.g., Tableau, Power BI) to present grocery-related trends and insights