Snowflake Data Engineer - Consultant
KPMG (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable Snowflake data models, schemas, views, and ELT pipelines using DBT following analytics engineering best practices.
- Optimize Snowflake performance including warehouses, clustering, and query tuning, ensuring high quality and reliable data models.
- Manage data workflows with Airflow, support production issues including RCA, and collaborate with cross-functional teams for requirements and delivery.
Minimum Requirements
- Strong hands-on experience with Snowflake and DBT for data engineering tasks.
- Experience in building and managing data pipelines, source control, CI/CD pipelines with GitHub and GitHub Actions.
- Educational Qualification: 15 years of full-time education.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Senior-level data engineer proficient in Snowflake and DBT with operational ownership of data transformation pipelines.
- Experienced in performance optimization and data workflow orchestration (Airflow) in cloud environments involving AWS S3.
- Comfortable collaborating with analytics, business, and platform teams for end-to-end data solution delivery.