The responsibility of the Data Engineer is to build and optimize scalable, efficient, and secure data pipelines for extracting, transforming, and loading (ETL) large datasets into Snowflake from various sources
Qualifications
- Has strong educational background in computer science or a related field, along with a proven track record of delivering impactful software solutions
- At least 3 years of experience as a Data Engineer or in a similar role, with a focus on data warehousing and ETL processes
- Expert proficiency in Snowflake Data Warehouse
- Proficiency in Microsoft Azure Data Services is a plus
- Strong understanding of database design principles and experience with SQL
- Must be willing to work on a Hybrid Setup if required
- Ready workspace at home
- Reliable high-speed internet connection
- Computer (laptop or desktop) with necessary software and hardware
- Quiet environment to ensure focus and productivity
