Description

• Develop Data Solutions: Analysed, Design and build applications and data pipelines using AWS, Databricks, Redshift, and Snowflake.
• ETL/ELT Development: Analyze standards and procedures for, and design data extraction, transformation, and loading (ETL/ELT) processes for both batch and real-time data.
• Database Management: Design DataLakes and Data Warehouses, and work with databases like Oracle and SQL Server.
• SQL Expertise: Write advanced SQL queries, including performance tuning, to support data analysis and application needs.
• Full-Cycle Development: Handle the entire software development lifecycle for data warehouse applications, from requirements analysis to implementation, testing, and debugging.
• System Integration: Integrate, enhance, and fine-tune Enterprise Data Warehouses to consolidate data from various sources

Key Skills

Education

Bachelor's degree