
Data Engineering Specialist
22 hours ago
About the Role:
As a Business Intelligence Engineer, you will be responsible for creating and maintaining complex data pipelines to ensure data quality and governance.
- Create datasets from various sources, including MongoDB, flat files, AWS S3, Athena, and Redshift connector.
- Design and implement dataflows using Magic ETL, SQL Transformation, and Blend.
- Assign data permissions based on user requirements and ensure data security.
- Develop and maintain metadata and user management systems.
- Design and implement views datasets with joining and union operations.
- Manage sandbox environments for development, testing, and production instances.
- Migrate and promote content between environments.
- Optimize performance of data pipelines and queries.
- Develop applications, dashboards, and filters.
- Create charts, tables, and other visualizations using different types of tiles and charts.
- Implement drill-up, down, and thru functionality on cards.
- Develop calculated fields and formatting rules.
- Handle Key Performance Indicators (KPIs) and create variables and control filters.
- Preferred skills include experience with AWS Cloud, MongoDB, Redshift, Glue, Athena, and Confluence.
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