Description
You will design and implement data architectures and scalable pipelines to support ingestion, processing, and storage.
Responsibilities
- Design, develop, and maintain scalable data pipelines and architectures.
- Translate data requirements from scientists and analysts into technical specifications.
- Implement data governance and quality assurance processes to ensure data integrity.
- Optimize data models and ETL processes for performance and efficiency.
- Monitor and troubleshoot data systems to maintain availability and performance.
- Mentor and provide guidance to junior data engineering team members.
Required Skills
- 7-10 years of experience in data engineering or a related field.
- Deep understanding of Data Architecture principles.
- Expertise in Data Engineering and ETL processes.
- Strong analytical and problem-solving skills.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven ability to work in an agile environment.
Preferred Skills
- Master's degree in a related field.