Data Build Tool(dbt) Developer with SQL/Python expertise

As a Data Build Tool (DBT) senior developer, your role involves working with the team to design, build, and maintain data pipelines and transformations using any cloud and the Data Build Tool (dbt). This requires strong SQL skills and knowledge of data warehousing concepts. Additionally, you will be responsible for ensuring data quality, performance optimization, and collaborating with cross-functional teams. **Key Responsibilities:** - Design, build, and maintain ETL/ELT pipelines using dbt and expertise in any cloud service - Create and manage data models and transformations using dbt to ensure efficient and accurate data consumption for analytics and reporting - Develop and maintain a data quality framework, including automated testing and cross-dataset validation - Write and optimize SQL queries for efficient data processing within BigQuery - Work with data engineers, analysts, scientists, and business stakeholders to deliver data solutions - Support day-to-day incident and ticket resolution related to data pipelines - Create and maintain comprehensive documentation for data pipelines, configurations, and procedures - Utilize cloud services like Google/Azure/AWS/Snowflake - Develop and maintain SQL/Python scripts for data ingestion, transformation, and automation tasks **Qualification Required:** - Overall 8~13 years of experience in data engineering or a related field - At least 2+ years of relevant dbt expertise, including proficiency in using dbt for data transformation, testing, and documentation - Advanced SQL skills for data modeling, performance optimization, and querying large datasets - Understanding of data warehousing concepts, dimensional modeling, and star schema design - Experience with ETL/ELT tools and frameworks, including Apache Beam, Cloud Dataflow, Data Fusion, or Airflow/Composer If you have any additional details about the company in the job description, please provide them so that I can include them in the output.,