- Design and architect data solutions leveraging AWS Redshift and Databricks.
- Develop data pipelines and ETL processes using Python.
- Collaborate with stakeholders to understand data requirements and deliver effective solutions.
- Ensure data architecture aligns with organizational goals and best practices.
- Optimize data models for performance and scalability.
- Monitor and troubleshoot data-related issues within the cloud environment.
Required Skills:
- Extensive experience with AWS Redshift and Databricks.
- Proficient in Python for data manipulation and ETL processes.
- Strong understanding of data architecture and design principles.
- Experience with cloud data management and analytics.
Preferred Qualifications:
- Relevant certifications in AWS or data architecture.
- Familiarity with additional cloud services and data tools.