
Chief Data Transformation Specialist
6 days ago
Our organization is seeking a skilled DBT Developer with expertise in data transformation and modeling to join our cross-functional Agile team.
The ideal candidate will design and maintain scalable data transformation pipelines using dbt (Data Build Tool) within a Snowflake environment.
This role offers the opportunity to work at the intersection of engineering, analytics, and business, helping to deliver clean, reliable, and analytics-ready data models that power applications, reporting, and strategic insights.
Key Responsibilities :
- Design, build, and maintain scalable, modular dbt models and transformation pipelines.
- Write efficient SQL queries to transform raw data into curated datasets in Snowflake.
- Collaborate with backend/frontend engineers, product managers, and analysts to develop analytics-ready data models that support business and application needs.
- Partner with stakeholders to gather data requirements and translate them into reliable, maintainable solutions.
- Enforce data quality through testing, documentation, and version control in dbt.
- Integrate dbt workflows into CI/CD pipelines and support automated deployments.
- Monitor and optimize data pipelines for performance, reliability, and scalability.
- Actively participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and manage tasks using Jira.
Required Skills and Qualifications :
- 3-5 years of experience in data engineering / analytics engineering with a strong focus on SQL-based transformations.
- Hands-on, production-level experience using dbt as a primary development tool.
- Strong proficiency in SQL and knowledge of data modeling principles (star/snowflake schema).
- Proven experience with Snowflake or other cloud-based data warehouses.
- Familiarity with Git-based workflows for version control.
- Strong communication and collaboration skills to work effectively across engineering and business teams.
- Prior experience working in Agile/Scrum environments with Jira.
Nice-to-Have Skills :
- Experience integrating dbt into CI/CD pipelines.
- Exposure to cloud platforms.
- Familiarity with Docker and container-based development.
- Knowledge of data orchestration tools.
- Understanding of downstream BI/Analytics tools.
- Basic Python scripting for data pipeline Experience :
- Proven track record of building and managing production-scale dbt projects.
- Experience working with cross-functional teams involving developers, analysts, and product managers.
- Strong sense of ownership, documentation, and data quality assurance.
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