Senior DBT Engineer

Job Description:

Senior DBT Engineer

Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai

Responsibilities:

–         Experience Level - 4 -12 years.

–         Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting.

–         Design, develop, and maintain ETL/ELT pipelines using DBT and pulling data from Snowflake.

–         Define and implement data modelling best practices, including data warehousing, ETL processes, and data transformations using DBT.

–         Build complex SQL queries within DBT to build incremental models, enhancing data processing efficiency.

–         Establish data governance practices and ensure data accuracy, quality, and consistency within the data transformation process.

–         Collaborate with data engineers, data analysts, and other stakeholders to understand and meet data requirements for various business units.

–         Identify and address performance bottlenecks in data transformation processes and optimize DBT models for faster query performance.

–         Maintain thorough documentation of DBT models, transformations, and data dictionaries to ensure transparency and accessibility to team members.

–         Implement data security measures to protect sensitive information and comply with data privacy regulations.

–         Stay updated on industry best practices and new features in DBT, and continuously improve the data transformation processes.

–         Provide training and support to other team members in using DBT effectively.

–         Implement data quality checks and validation processes to ensure data accuracy and consistency.

–         Hands-on experience in implementing data governance, data quality rules and validation mechanisms within Collibra is added plus.

–         Knowledge of workflow orchestration tools like Tidal.

–         Experience with Python or other scripting languages is a plus.

–         Familiarity with Azure cloud platforms.

–         Exposure to DevOps practices and CI/CD pipelines for data engineering.

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