Data Engineer ( Snowflakes + AWS)

Experience - 5 + Years

Skills- Snowflakes + AWS

About the Role

We are seeking a highly skilled Snowflake + AWS Engineer with strong expertise in cloud-based data engineering, ETL pipeline development, and modern data warehouse architecture. The ideal candidate will have a proven track record of implementing scalable, high-performance data solutions using Snowflake on AWS Cloud .

Key Responsibilities

• Design, develop, and maintain data pipelines using Snowflake, AWS services, and Python / SQL-based ETL tools.
• Architect and implement data models , schemas , and warehouse structures optimized for analytics and reporting.
• Manage and optimize Snowflake environments , including performance tuning, cost optimization, and role-based access control.
• Build and orchestrate data workflows using AWS services such as Glue , Lambda , Step Functions , S3 , and Athena .
• Integrate data from multiple sources (APIs, RDBMS, flat files, streaming data, etc.) into Snowflake.
• Implement and manage data security, governance, and compliance standards across platforms.
• Collaborate with Data Scientists, Analysts, and DevOps teams to ensure data availability, accuracy, and reliability.
• Monitor and troubleshoot production data pipelines and performance issues.
• Implement CI / CD automation for data pipelines using tools like Terraform, CloudFormation, or Jenkins .

Required Skills & Qualifications

Good to Have

Soft Skills