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Senior Data Engineer
Skills
Computer ScienceConsumer TextilesContinuous ImprovementData IntegrityData ServicesData StrategiesDatabases
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Information Systems Engineering Data Science or related field
- 6+ years of professional data engineering experience
- Strong experience designing developing and supporting production data pipelines
- Advanced proficiency in SQL and Python
- Experience working with cloud-based data platforms and enterprise data environments
- Experience integrating multiple business systems and data sources
- Strong understanding of data engineering principles data modeling ETL ELT development data quality management and enterprise reporting and analytics
- Experience working with large datasets and complex data structures
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Authorization to work in the United States without sponsorship
Nice to have
- Hands-on
- Analytical
- Collaborative
- Detail-oriented
- Problem-solver
Day to day
- Design, develop, and maintain scalable enterprise data pipelines that transform diverse business systems into trusted data products
- Build and support cloud-based lakehouse and data platform solutions that enable analytics, reporting, and AI workloads
- Collaborate with architects, governance leaders, AI engineers, analysts, and stakeholders to improve data quality, integration, security, and operational reliability