Data Engineer

About

Responsibilities

• Develop and maintain DBT models, macros, and SQL scripts to transform data within Snowflake.
• Optimize data models, design star/snowflake schemas, manage warehouse performance, and implement clustering/materialized views.
• Create scalable ELT/ETL pipelines to ingest and transform data from diverse sources.
• Write modular, testable SQL code using version control and manage DBT project structures.
• Implement data quality checks, automated tests, anomaly detection, and data security, including RBAC, masking, and row-level access in Snowflake.

Basic Qualifications

• 5+ years of experience with Snowflake and Strong SQL proficiency.
• 5+ years of experience with DBT and Hands-on experience developing with DBT.
• 3+ years of experience with Airflow development
• Good handle on Data Warehouse concepts.
• Education: Bachelor’s degree in Computer Science, Data Engineering, or a related field

Nice to Have (But not a must)

• Programming: Proficiency in Python for scripting and automation.
• Cloud Platforms: Experience with AWS, GCP, or Azure environments.

Location Details

• Local candidates only
• In-Person interview required for Final interview