Role & responsibilities

• Data Modeling and Transformation:
  Design, build, and maintain robust and scalable data models using dbt and SQL. Create reusable transformations and ensure data is structured for efficient analysis.
• Pipeline Development:
  Develop and optimize ELT pipelines, leveraging dbt for transformations and Databricks for compute and orchestration when needed.
• Quality Assurance:
  Implement and manage data quality tests within dbt to ensure data integrity, accuracy, and consistency.
• Documentation and Governance:
  Maintain comprehensive documentation for dbt models, data lineage, and dependencies.
• CI/CD and Version Control:
  Apply software engineering best practices using Git and set up CI/CD pipelines for automated dbt project deployments.
• Collaboration:
  Partner with data analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for BI and ML use cases.

Preferred candidate profile