Key Responsibilities
- Design and implement scalable data pipelines and ETL processes
- Develop and maintain data warehousing solutions for analytics
- Optimize data storage, retrieval, and processing for performance
- Collaborate with data scientists and analysts to ensure data quality
- Implement monitoring and alerting for data pipeline reliability
- Document data models, schemas, and pipeline architectures
Requirements
- 5+ years in data engineering with expertise in Python and SQL
- Experience with ETL tools, big data frameworks, and cloud platforms
- Strong knowledge of data warehousing, modeling, and optimization
- Familiarity with distributed systems and scalable data architectures
- Problem-solving mindset with a focus on data integrity and efficiency