AWS Data Engineer with BI Connector to Snowflake Migration Experience

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines on AWS and Snowflake.
• Migrate BI and reporting workloads to Snowflake end-to-end.
• Build and optimize data models, SQL, and Snowflake workloads.
• Configure and troubleshoot BI connectivity with Snowflake (Power BI, Tableau, Looker).
• Apply Snowflake best practices for performance, security, governance, and cost.
• Monitor and resolve production data pipeline issues.

🎯 Requirements

• 6+ years of experience in data engineering or related roles.
• Hands-on Snowflake Data Warehouse experience.
• Strong SQL development and data engineering skills.
• Experience designing and implementing ETL/ELT pipelines.
• Experience with AWS data services: S3, Glue, Lambda, IAM, CloudWatch.
• Experience integrating BI tools with Snowflake via JDBC/ODBC.

🎁 Benefits

• Remote working opportunity.
• Work on large-scale cloud data transformation projects.
• Exposure to AWS, Snowflake, and enterprise BI platforms.
• Collaborate with experienced engineering teams.
• Impactful data initiatives for BI and analytics.
• Continuous learning and professional development opportunities.