Description

• Design and Develop ETL/ELT Processes: Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into Snowflake.
• Data Integration: Integrate data from multiple sources, ensuring data quality and consistency.
• Performance Optimization: Optimize ETL/ELT processes for performance and scalability.
• Collaboration: Work with data architects, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Documentation: Document ETL/ELT processes, data models, and other relevant information.
• Troubleshooting: Identify and resolve issues related to ETL/ELT processes and data integration.
• Data Modeling: Develop and maintain data models to support analytics and reporting.

What You Will Need to Have:

• 3-6 years overall IT experience
• 2+ years Snowflake platform Data Engineering experience
• 2+ years experience in writing complex SQL queries, stored procedures, analytical functions
• Good experience with Python scripting
• Knowledge of data warehousing, ETL/ELT concepts and best practices
• Experience with ETL/ELT tools such as Informatica, Talend, or similar
• Strong database concepts like Entity-relationship, Data modeling, DDL and DML statements etc.
• Bachelor’s degree required; relevant, equivalent work experience may be substituted for degree requirement.
• Strong analytical and problem-solving skills.
• Excellent communication skills to collaborate with stakeholders and document processes.
• Ability to work independently and as part of a team

Key Skills

Education

Bachelor's degree