Data Engineer

A company is looking for a Data Engineer to develop and optimize ETL processes and support their Snowflake data warehouse.

Key Responsibilities

Enhance and maintain the Snowflake data warehouse for optimal performance and security

Design, implement, and standardize ETL processes for efficiency across data sources

Evaluate and adopt best practices for data integration and manage ad hoc data engineering projects

Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

3+ years of experience in data engineering, focusing on ETL optimization and data warehousing using Snowflake

Experience with SQL and scripting languages (e.g., Python) for data processing

Hands-on experience with data modeling in star schema architecture

Familiarity with data integration tools, particularly transitioning to Azure Data Factory