Data Warehouse Modeling & DBT Expert

Skills:
Data Warehouse, DBT, SQL, Git, Snowflake, Redshift,

Job Description - Data Warehouse Modeling & DBT Expert

Role: Data Warehouse Modeling & DBT Expert

Experience: 4-8 years

Hiring mode- Permanent

Working mode-Hybrid or Remote(They are required to work from the office for 5 days during onboarding and for 5 days each quarter)

Notice period- Immediate

Job Summary

A skilled professional with strong expertise in both data warehouse modeling and modern data transformation using dbt (data build tool). The ideal candidate will be responsible for designing scalable data models and implementing efficient ETL/ELT pipelines to support analytics and reporting needs.

Key Responsibilities

Design and implement scalable data warehouse models (star, snowflake schemas)

Develop and maintain fact and dimension tables aligned with business requirements

Build and manage data transformation pipelines using dbt

Translate business requirements into well-structured, reusable data models

Implement data validation, testing, and documentation within dbt

Optimize SQL queries and transformations for performance and scalability

Collaborate with stakeholders, data engineers, and analysts for data requirements

Ensure data quality, consistency, and governance standards

Integrate dbt workflows into CI/CD pipelines and version control systems

Required Skills

Strong experience in data warehouse design and dimensional modeling

Hands-on expertise with dbt (data build tool)

Advanced SQL skills for large-scale data transformation

Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or Azure Synapse)

Solid understanding of ETL/ELT pipelines and modern data architecture

Experience with Git and CI/CD practices

Strong problem-solving and analytical skills