Tasks:
- * Apply development and quality assurance practices
- * Automate data monitoring, validation, and loading
- * Build and optimize data pipelines
- * Design and maintain ETL processes
- * Design data models and data warehouse architectures
- * Document data processes and structures
- * Ensure data quality and integrity
- * Gather data requirements with stakeholders
- * Improve operational efficiency
- * Modernize data platforms
- * Optimize SQL queries and data integration
Perks/Benefits:
Skills/Tech stack required:
[Data integration] [Data Modeling] [Data Pipelines] [Data Quality] [Data quality assurance] [Data Warehouse] [Data Warehouse Architecture] [Dimensional data] [Dimensional data modeling] [ETL] [Integration Services SSIS] [Microsoft SQL] [Microsoft SQL Server] [Microsoft SQL Server Integration Services] [Microsoft SQL Server Integration Services (SSIS)] [Python] [Quality Assurance] [Query Optimization] [Relational Data] [Relational Data Modeling] [SQL] [SQL Server Integration Services (SSIS)] [T-SQL] [Version control] [Warehouse Architecture]
Educational requirements:
N/A
Role(s):
[Data Engineer] [Engineer]