Key Responsibilities
- DBT Development: Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting.
- Data Modelling: Define and implement data modelling best practices, including data warehousing, ETL processes, and data transformations using DBT.
- Data Governance: Establish data governance practices and ensure data accuracy, quality, and consistency within the data transformation process.
- Collaboration: Collaborate with data engineers, data analysts, and other stakeholders to understand and meet data requirements for various business units.
- Performance Optimization: Identify and address performance bottlenecks in data transformation processes and optimize DBT models for faster query performance.
- Documentation: Maintain thorough documentation of DBT models, transformations, and data dictionaries to ensure transparency and accessibility to team members.
- Security: Implement data security measures to protect sensitive information and comply with data privacy regulations.
- Continuous Improvement: Stay updated on industry best practices and new features in DBT, and continuously improve the data transformation processes.
- Training and Support: Provide training and support to other team members in using DBT effectively.
- POC : Must be able to plan and execute POCs relevant to DBT
Skills: dbt,data transformation,etl,documentation,security,models,data governance
