Data Engineer

Job Description

Responsibilities

• Pipeline Development: Build and maintain modular ELT data pipelines using Snowflake and dbt across staging, intermediate, and mart layers.
• Data Modeling: Implement dimensional data modeling (Kimball methodology) and design scalable schemas.
• Performance Tuning: Optimize complex SQL queries, virtual warehouses, and incremental dbt models for cost and speed.
• Data Quality & Testing: Write automated data tests (uniqueness, relationships, custom assertions) and maintain dbt documentation.
• CI/CD & Version Control: Manage code using Git, integrate dbt projects with CI/CD deployment workflows, and handle orchestration.

Expertise You’ll Bring:

• Experience: 3 to 8 years of hands-on data engineering experience.
• Snowflake Skills: Deep knowledge of Snowflake architecture, virtual warehouse sizing, Time Travel, Tasks, and Streams.
• dbt Proficiency: Strong command over dbt core/cloud, macros, packages, and incremental loading strategies.
• SQL & Programming: Advanced analytical SQL skills alongside basic Python knowledge for scripting or orchestration.
• Collaboration: Familiarity with Git, Agile practices, and orchestrators like Apache Airflow or dbt Cloud

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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