looking for a Senior Data Engineer with strong hands-on experience in Snowflake and DBT to design, build, and maintain scalable data transformation pipelines. The ideal candidate will work closely with analytics, business, and platform teams to deliver reliable, high quality data models following best practices
Design, develop, and maintain Snowflake data models, schemas, and views
Build and manage DBT models, tests, snapshots, and documentation
Implement ELT pipelines following analytics engineering best practices
Optimize Snowflake performance (warehouses, clustering, query tuning)
Ensure data quality using DBT tests and reconciliation checks
Orchestrate data workflows using Airflow (DAG monitoring and troubleshooting)
Manage source control, CI/CD pipelines, and code reviews using GitHub and GITHUB Actions
Work with cloud storage (AWS S3) for data ingestion and unloading
Collaborate with cross functional teams for requirements, design, and delivery
Support production issues, RCA, and continuous improvement initiatives
Educational Qualification : 15 years full time education
Job description provided by KPMG Global Services.
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