Snowflake Data Engineer

Job Title : Snowflake Data Engineer

Role type : Contract (High possibility of extension)

Location : Hybrid - Once a week (Austin, TX)

Job Description

We are looking for a Snowflake Data Engineer with strong experience in designing and optimizing data pipelines, data architectures, and integration solutions using Snowflake and AWS services like Bedrock, Glue, and Step Functions.

Key Responsibilities:

• Design, implement, and optimize scalable data pipelines and architectures in Snowflake .
• Build, deploy, and maintain ETL processes using AWS Glue and other data integration tools.
• Orchestrate complex workflows using AWS Step Functions for automated data processing.
• Integrate data from various sources (databases, APIs, flat files) into Snowflake.
• Ensure data quality, integrity, and governance across all data workflows and pipelines.
• Monitor and optimize Snowflake queries, tables, and data models for performance and cost efficiency.
• Collaborate with data analysts, scientists, and product teams to deliver data-driven insights.
• Implement data security and access control policies within the Snowflake environment.
• Document technical processes, workflows, and architectural decisions.

Required Skills:

• Hands-on experience with the Snowflake data warehousing platform (SQL, data modeling, Snowflake architecture).
• Strong experience with AWS Glue , Step Functions , and Bedrock .
• Proficiency in SQL and data transformation techniques.
• Experience building scalable data pipelines and automating workflows in cloud environments.
• Strong problem-solving skills and ability to work in an agile, collaborative environment.