Oracle
Snowflake Databricks Engineer
Job Description
- Snowflake Development:
- Design, build, and optimize ETL pipelines within and outside of Snowflake.
- Develop scripts using languages like Python, Unix, or other relevant technologies for data loading, extraction, and transformation.
- Create and maintain views, stored procedures, and other database objects in Snowflake.
- Optimize query performance and troubleshoot data-related issues.
- Databricks Integration:
- Collaborate with data scientists and analysts to integrate Snowflake with Databricks.
- Build and maintain highly scalable data pipelines using Databricks, Azure, AWS, or other cloud platforms.
- Design and implement ETL/ELT data pipelines to extract, process, and transform data from various sources.
- Work on data insights, machine learning models, and fraud detection within the Databricks environment.
- Data Quality and Security:
- Implement extensive data quality checks to ensure high-quality data.
- Define and enforce data security measures within both Snowflake and Databricks.
- Monitor and manage access control for data assets.
- Collaboration and Communication:
- Collaborate with business leaders to understand organizational goals and align data engineering efforts.
- Communicate data trends, insights, and recommendations to business executives.
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