Data Engineer (4x Onsite, QC)

• Build data pipelines that power health-focused retail decisions.
• Work with a mission-driven team promoting wellness and clean living.

About Our Client

The company is a well-established large organization in the retail industry known for its commitment to delivering quality products and services. It has a strong presence in its market and values innovation and excellence in its technology-driven operations.

Job Description

• Develop and maintain scalable data pipelines to process large volumes of data efficiently.
• Design, implement, and optimize data storage solutions to support analytical and business needs.
• Collaborate with cross-functional teams to integrate data from various sources into a unified platform.
• Ensure data integrity, security, and compliance with relevant regulations and standards.
• Monitor and troubleshoot data pipelines and systems to ensure seamless operation.
• Work closely with data analysts and scientists to provide clean, reliable datasets for analysis.
• Document data engineering processes and maintain comprehensive technical documentation.
• Continuously evaluate and adopt new tools and technologies to enhance data engineering capabilities.

The Successful Applicant

A successful Data Engineer should have:

• Proficiency in programming languages such as Python, SQL, and DAX.
• Strong knowledge of data modeling, ETL processes, and database management systems.
• Experience working with big data frameworks and cloud platforms (AWS and Databricks)
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• An understanding of the retail industry would be an advantage.

What's on Offer

• Opportunities for professional growth and skill development.
• Access to comprehensive employee benefits.
• Being part of a large organization in the retail industry with a focus on innovation.
• A supportive and collaborative work environment.