Job Description
Full job description
Title: Snowflake DBT Consultant
Location: Remote
Contract: 3+ Months
Exp Level: 8+ Years
Role Overview
We are looking for a skilled DBT (Data Build Tool) Data Engineer to design, build, and optimize modern data transformation pipelines. The ideal candidate has strong SQL skills, hands-on experience with cloud data warehouses, and a solid understanding of data modeling and ELT best practices. You will work closely with analytics, data science, and business teams to deliver clean, reliable, and well-documented data models.
Key Responsibilities
Data Modeling & DBT Development
Develop and maintain DBT models (staging, intermediate, mart layers) following modular design and best practices.
Implement dbt tests, documentation, sources, macros, and packages .
Build reusable and scalable data transformation frameworks.
Data Pipeline Engineering
Design and optimize ELT workflows using DBT integrated with orchestrators (Airflow, Dagster, Prefect, etc.).
Work with cloud data environments such as Snowflake, BigQuery, Redshift, Databricks.
Ensure high performance of SQL transformations and warehouse queries.
Data Quality & Governance
Implement and maintain data quality tests within DBT (unique, not null, referential integrity).
Contribute to version control, CI/CD, documentation standards, and best practices.
Collaboration & Stakeholder Support
Work with analysts and business teams to understand requirements and convert them into scalable data models.
Support data consumers with well_structured data and documentation (dbt docs).
Participate in code reviews and provide engineering guidance.
3+ years’ experience in Data Engineering / ELT development .
Strong SQL proficiency, with experience writing optimized queries.
Hands_on experience with DBT Core or DBT Cloud .
Experience with any cloud data warehouse:
Snowflake / BigQuery / Redshift / Azure Synapse .
Familiarity with Git , CI/CD pipelines, and modern data stack principles.
Understanding of data modeling techniques (Kimball, Data Vault, Star/Snowflake
Experience integrating DBT with orchestrators (Airflow, Dagster, Prefect, etc.).
Title: Snowflake DBT Consultant
Location: Remote
Contract: 3+ Months
Exp Level: 8+ Years
Role Overview
We are looking for a skilled DBT (Data Build Tool) Data Engineer to design, build, and optimize modern data transformation pipelines. The ideal candidate has strong SQL skills, hands-on experience with cloud data warehouses, and a solid understanding of data modeling and ELT best practices. You will work closely with analytics, data science, and business teams to deliver clean, reliable, and well-documented data models.
Key Responsibilities
Data Modeling & DBT Development
Develop and maintain DBT models (staging, intermediate, mart layers) following modular design and best practices.
Implement dbt tests, documentation, sources, macros, and packages .
Build reusable and scalable data transformation frameworks.
Data Pipeline Engineering
Design and optimize ELT workflows using DBT integrated with orchestrators (Airflow, Dagster, Prefect, etc.).
Work with cloud data environments such as Snowflake, BigQuery, Redshift, Databricks.
Ensure high performance of SQL transformations and warehouse queries.
Data Quality & Governance
Implement and maintain data quality tests within DBT (unique, not null, referential integrity).
Contribute to version control, CI/CD, documentation standards, and best practices.
Collaboration & Stakeholder Support
Work with analysts and business teams to understand requirements and convert them into scalable data models.
Support data consumers with well_structured data and documentation (dbt docs).
Participate in code reviews and provide engineering guidance.
3+ years’ experience in Data Engineering / ELT development .
Strong SQL proficiency, with experience writing optimized queries.
Hands_on experience with DBT Core or DBT Cloud .
Experience with any cloud data warehouse:
Snowflake / BigQuery / Redshift / Azure Synapse .
Familiarity with Git , CI/CD pipelines, and modern data stack principles.
Understanding of data modeling techniques (Kimball, Data Vault, Star/Snowflake
Experience integrating DBT with orchestrators (Airflow, Dagster, Prefect, etc.).
💡 Quick Summary
Seeking a career-building opportunity? The Snowflake DBT Developer position is now open for candidates interested in the Work from home Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.