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Senior Data Engineer - Contract - Remote (US based)
Right Skale
- United States
- United States
About
We are seeking an experienced Data Engineer to lead the migration of AWS QuickSight dashboards and internal applications from AWS Redshift to Snowflake, and to build scalable data pipelines for analytics and reporting. Key Responsibilities
Lead migration of AWS QuickSight dashboards from Redshift to Snowflake. Optimize SQL queries for Snowflake compatibility and performance. Migrate internal application data workflows from Redshift to Snowflake. Develop and maintain DBT models for data transformation in Snowflake. Build and manage ETL/ELT pipelines for accurate, timely data delivery. Collaborate with analytics and engineering teams to ensure minimal downtime. Monitor and troubleshoot data pipelines for optimal performance. Required Skills & Qualifications
6–8 years of Data Engineering experience. Strong expertise in Snowflake and AWS Redshift. Proficiency in DBT for data transformations. Experience with AWS services (S3, Lambda, Glue, QuickSight). Advanced SQL skills for query optimization and troubleshooting. Experience with data pipelines (Airflow, Glue, or similar). Knowledge of Python for data engineering tasks. Strong problem-solving and collaboration skills. Preferred Skills
Experience with BI migrations (QuickSight or similar). Familiarity with CI/CD for data pipelines.
Languages
- English
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