Data Warehouse Modeling & DBT Expert (Lead)
Experience: 7 Years
Employment Type: Permanent
Budget: Up to 18 LPA
Work Mode: Hybrid / Remote
Mandatory office presence:
- 5 days during onboarding
- 5 days every quarter
Notice Period: Immediate to 15 days preferred
Job Summary
The role focuses on building scalable high-performance data warehouse solutions using modern data stack tools. You will work closely with business stakeholders data engineers and analysts to transform raw data into meaningful insights through efficient data modeling and transformation pipelines.
Key Responsibilities
- Design and implement scalable data warehouse models (Star & Snowflake schemas)
- Develop and maintain fact and dimension tables aligned with business needs
- Build manage and optimize data transformation pipelines using dbt
- Translate business requirements into reusable and well-structured data models
- Implement data validation testing and documentation using dbt best practices
- Optimize SQL queries for performance and large-scale data processing
- Collaborate with cross-functional teams to gather and refine data requirements
- Ensure data quality consistency and governance standards
- Integrate dbt workflows with CI/CD pipelines and version control systems (Git)
- Drive best practices in modern data architecture and transformation frameworks
Required Skills & Qualifications
- Strong experience in Data Warehouse Design & Dimensional Modeling
- Hands-on expertise with dbt (data build tool)
- Advanced proficiency in SQL (complex queries optimization performance tuning)
- Experience with cloud data warehouses such as:
- Snowflake
- BigQuery
- Amazon Redshift
- Azure Synapse
- Solid understanding of ETL/ELT pipelines and modern data stack
- Experience with Git version control and CI/CD pipelines
- Strong analytical problem-solving and communication skills
Required Skills:
DOCUMENTATIONTESTINGGITVERSION CONTROLCI/CDBIGQUERYSQL QUERIES
Data Warehouse Modeling & DBT Expert (Lead) Experience: 7 Years Employment Type: Permanent Budget: Up to 18 LPA Work Mode: Hybrid / Remote Mandatory office presence: 5 days during onboarding 5 days every quarter Notice Period: Immediate to 15 days preferred Job Summary The role focuses on...
Data Warehouse Modeling & DBT Expert (Lead)
Experience: 7 Years
Employment Type: Permanent
Budget: Up to 18 LPA
Work Mode: Hybrid / Remote
Mandatory office presence:
- 5 days during onboarding
- 5 days every quarter
Notice Period: Immediate to 15 days preferred
Job Summary
The role focuses on building scalable high-performance data warehouse solutions using modern data stack tools. You will work closely with business stakeholders data engineers and analysts to transform raw data into meaningful insights through efficient data modeling and transformation pipelines.
Key Responsibilities
- Design and implement scalable data warehouse models (Star & Snowflake schemas)
- Develop and maintain fact and dimension tables aligned with business needs
- Build manage and optimize data transformation pipelines using dbt
- Translate business requirements into reusable and well-structured data models
- Implement data validation testing and documentation using dbt best practices
- Optimize SQL queries for performance and large-scale data processing
- Collaborate with cross-functional teams to gather and refine data requirements
- Ensure data quality consistency and governance standards
- Integrate dbt workflows with CI/CD pipelines and version control systems (Git)
- Drive best practices in modern data architecture and transformation frameworks
Required Skills & Qualifications
- Strong experience in Data Warehouse Design & Dimensional Modeling
- Hands-on expertise with dbt (data build tool)
- Advanced proficiency in SQL (complex queries optimization performance tuning)
- Experience with cloud data warehouses such as:
- Snowflake
- BigQuery
- Amazon Redshift
- Azure Synapse
- Solid understanding of ETL/ELT pipelines and modern data stack
- Experience with Git version control and CI/CD pipelines
- Strong analytical problem-solving and communication skills
Required Skills:
DOCUMENTATIONTESTINGGITVERSION CONTROLCI/CDBIGQUERYSQL QUERIES
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