AWS Snowflake Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and solutions using AWS and Snowflake. The Data Engineer will be responsible for ensuring data quality, optimizing performance, and supporting data-driven decision-making within the organization.

Key Responsibilities:

Develop and maintain data pipelines using AWS services (e.g., S3, Glue, Lambda, EC2).
Design and implement data models and ETL processes within Snowflake.
Ensure data quality and accuracy through data validation and monitoring.
Optimize data warehouse performance and scalability.
Collaborate with data scientists and business stakeholders to understand data requirements.
Implement data security and governance policies.

Requirements/Qualifications:

3 to 5 years of experience in data engineering.
Strong experience with AWS cloud services.
Proficiency in Snowflake data warehousing.
Experience with ETL tools and data integration techniques.
Solid understanding of data modeling principles.
Experience with SQL and scripting languages (e.g., Python).
Excellent problem-solving and communication skills.

About the Company: Crescendo Global Leadership is a firm dedicated to providing talent solutions across various industries. They specialize in connecting organizations with skilled professionals to drive growth and innovation.