Senior Snowflake Data Engineer ( AWS - S3 ) - Artmac Soft LLC

Who we are:

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description:

Job Title : Senior Snowflake Data Engineer ( AWS - S3 )

Job Type : W2

Experience : 7-10 Years

Location : Franklin, Tennessee

Responsibilities:

• Design, implement, and manage Snowpipe to automate and streamline the ingestion of data files from Amazon S3 into Snowflake.
• Ensure the reliability and timeliness of data ingestion processes, and monitor their performance.
• Utilize Snowflake Streams to capture and manage changes in data.
• Write and maintain stored procedures to process, transform, and move data between different layers within Snowflake.
• Optimize Snowflake performance through query tuning and managing storage costs.
• Collaborate with data architects, data analysts, and other team members to understand data requirements and align with project goals.
• Coordinate with stakeholders to identify and resolve data-related issues or improvements.
• Diagnose and resolve issues related to data ingestion, transformation, and Snowflake operations.
• Provide support for ongoing maintenance and enhancement of Snowflake data solutions.
• Develop and maintain comprehensive documentation for Snowflake architecture, data pipelines, transformation processes, and best practices.

Required Skills:

• Minimum of 10+ years of experience in IT, including at least 4 years of hands-on experience with Snowflake.
• Proven experience with Snowflake's Snowpipe for data ingestion, Snowflake Streams for change data capture, and stored procedures for data processing and transformation.
• In-depth knowledge of Snowflake's architecture, features, and best practices.
• Strong understanding of integrating Snowflake with Amazon S3 for data ingestion and management.
• Advanced SQL skills, including the ability to write complex queries, perform data manipulation, and optimize query performance.
• Comprehensive knowledge of data warehousing concepts, data modeling, ETL processes, and data governance.
• Strong analytical skills for troubleshooting and resolving complex data issues and performance problems.
• Excellent communication skills to convey technical information clearly to non-technical stakeholders.
• Ability to work collaboratively with team members and stakeholders across different departments.
• Basic experience with AWS services, including fundamental understanding and use of services such as Amazon S3.

Preferred Skills:

• Snowflake certification(s) is a plus.
• Experience with programming languages such as Python or JavaScript