Website retailtechinnovations RetailTech Innovations
Leading the Transformation of Retail Technology
Job Description
About the Role
Build and maintain our data infrastructure to support analytics and machine learning. You’ll design data pipelines, optimize databases, and ensure data quality across our systems. Your work will power data-driven decision making.
Responsibilities
- Design and implement scalable data pipelines
- Optimize data storage and retrieval systems
- Ensure data quality and consistency
- Implement data security and privacy measures
- Collaborate with analytics and engineering teams
- Troubleshoot data-related issues
- Stay current with data engineering technologies
Requirements
- Bachelor’s degree in Computer Science or related field
- 5+ years of data engineering experience
- Expertise in SQL and NoSQL databases
- Proficiency in Python, Java, or Scala
- Experience with big data technologies (Spark, Hadoop)
- Knowledge of data modeling techniques
- Understanding of cloud data services
Benefits
- Highly competitive compensation
- Comprehensive health benefits
- 401(k) matching program
- Flexible work arrangements
- Professional development opportunities
- Stock options
- Wellness and fitness programs
About the Company
We’re a data-first company leveraging information to drive innovation. Our team is passionate about building robust data infrastructure that enables insights. We value technical excellence, collaboration, and continuous learning.
Job ID: senior-data-engineer-LYgaX
