The Tyndale Company is seeking a skilled Data Engineer to join our growing AI organization to harness data for advanced AI and Machine Learning applications
Requirements
- Proficient in SQL, Python, and data warehousing solutions
- Experience with AWS services required
- Understanding of AI and ML concepts and familiarity with machine learning model lifecycle requirements
- Strong understanding of data governance, data architecture, and best practices for data management in a modern AI ecosystem
- Experience with data pipeline development, data integration, and ETL processes
- Experience with data visualization tools and MLOps a plus
- Minimum of 3 years of experience in data engineering
Responsibilities
- Data Pipeline Development: Design, build, and optimize data pipelines to support AI and ML projects. Enable real-time and batch data processing to meet diverse business needs.
- Data Integration and Management: Integrate data from various sources, including our ERP, SaaS platforms, and external APIs, to provide a unified data view for AI applications.
- Data Quality Assurance: Implement processes to ensure data quality, consistency, and accuracy across systems, working closely with data governance standards.
- Collaboration with Data Science and AI Teams: Partner with data scientists to understand data requirements for model development, deployment, and monitoring.
- Performance Optimization: Monitor and improve data pipeline performance, optimizing ETL processes, storage, and query performance as needed.
- Documentation and Best Practices: Develop and maintain documentation for data workflows and adhere to best practices for data engineering, including version control and testing.
- Data Visualization: Create data visualizations using PowerBI.
Other
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
- Strong communication skills, capable of working cross-functionally with technical and non-technical stakeholders
- Experience in B2B ecommerce or apparel industry preferred
- Must reside within a commutable distance from our corporate office location in Pipersville, PA (Bucks County)
- Onsite work a minimum of 1 day per week, and 4 days per week remotely
