
Data Engineer
6 days ago
Responsibilities:
- Lead the design and development of scalable data pipelines using AWS (Glue, Redshift, Athena)
- Drive architecture decisions for data systems that support business analytics and application features
- Build end-to-end solutions, including backend APIs and, where applicable, simple UI components
- Orchestrate workflows using Airflow or equivalent tools, ensuring dependency management and error handling
- Ensure high standards of data quality through validation frameworks and monitoring
- Automate deployment and testing processes through CI/CD for data infrastructure
- Partner with cross-functional teams to understand data needs and deliver reliable, performant solutions
- Mentor junior engineers and contribute to a high-performance engineering culture
- Stay current on industry trends and evaluate new tools and technologies
Requirements and Preferred Experience:
- 7+ years of experience in data engineering with exposure to full-stack development
- Deep experience with AWS data services (Glue, Redshift, Athena) and ETL/ELT development
- Proficiency in SQL and data modeling concepts
- Strong experience with Airflow or other orchestration tools
- Exposure to backend development (Node.js, Python, or similar) and familiarity with modern frontend frameworks (React, Angular, etc.)
- Experience implementing CI/CD for data workflows and APIs
- Strong grasp of software engineering principles and agile methodologies
- Demonstrated ability to own and deliver complex, high-impact data projects
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