Data Transformation Developer
1 month ago
- The DBT Data Transformation Analyst/Developer will be responsible for designing, implementing, and maintaining data transformation processes using DBT (Data Build Tool).
- This role requires a deep understanding of data modeling, ETL processes, and the ability to collaborate with various stakeholders to ensure the delivery of high-quality, reliable data for analytics and business intelligence.
Key Responsibilities:
- Data Transformation Development:
- Design, develop, and maintain data transformation pipelines using DBT.
- Create and manage data models to transform raw data into structured datasets suitable for analysis and reporting.
- Data Integration:
- Collaborate with data engineers to integrate data from diverse sources into the data warehouse.
- Ensure seamless data flow and consistency across different data sources.
- Optimization and Performance:
- Optimize DBT models for performance and efficiency.
- Monitor and improve the performance of data transformation processes to ensure timely data availability.
- Collaboration and Requirements Gathering:
- Work closely with data analysts, data scientists, and business stakeholders to understand their data requirements.
- Translate business requirements into technical specifications for data transformation.
- Quality Assurance:
- Implement automated testing and validation frameworks to ensure data accuracy and reliability.
- Conduct thorough testing of data transformations and troubleshoot any issues that arise.
- Documentation and Best Practices:
- Document data transformation processes, data models, and workflows.
- Develop and enforce best practices for DBT development and data transformation.
- Continuous Improvement:
- Stay updated with the latest advancements in DBT and data transformation technologies.
- Continuously seek opportunities to improve and innovate data transformation processes.
Qualifications:
Education:
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
Experience:
Proven experience as a DBT Developer, Data Engineer, or similar role focusing on data transformation and modeling.
Experience working with modern data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
Technical Skills:
Proficiency in DBT and SQL.
Strong understanding of data modeling concepts and best practices.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Analytical Skills:
Strong analytical and problem-solving skills.
Ability to design efficient and scalable data transformation workflows.
Preferred Qualifications:
Experience with data visualization tools (e.g., Tableau, Looker).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
Knowledge of Python or other scripting languages for data transformation.
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