Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular Data Engineer title, and likely metro hiring raise applicant competition.
Specialized Snowflake/DBT skills moderately reduce cross-industry portability.
Mandatory Snowflake, DBT, Airflow, CI/CD and senior data engineering experience make filters strict.
Job Description
Structured overview of role & requirementsAbout 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.