10+ years of experience in SQL, Python, .NET is a plus.
Databricks Certified Data Engineer Associate or Professional.
Integrate data from multiple sources, ensuring consistency, quality, and reliability.
Design, implement, and optimize database schemas and structures to support data storage and retrieval.
Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
Build and maintain data warehouses to support business intelligence and analytics needs.
Optimize data processing and storage performance for efficient resource utilization and quick data retrieval.
Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas.
Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise.
Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending new tools and technologies as appropriate.
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