All fields marked * are required
Key Responsibilities
● Design, develop, and maintain scalable data transformation pipelines using SQL, dbt, and Jinja
templating.
● Build and optimize dimensional data models in dbt to support analytics, reporting, and BI
consumption.
● Collaborate with Product, Analytics, and BI teams to translate business requirements into robust
analytical data models.
● Perform exploratory data analysis (EDA) using SQL, Excel, and other analytical tools to validate
business requirements and uncover insights.
● Enhance and maintain analytics engineering codebases, including dbt models, macros, packages,
tests, and documentation.
● Implement data quality frameworks, automated testing, and governance-aligned transformation
logic.
● Optimize SQL workloads and analytical queries through partitioning, clustering, materialization
strategies, and performance tuning techniques.
● Ensure consistency of business metrics, semantic definitions, and data logic across dashboards
and reporting platforms.
● Apply software engineering best practices, including version control, code reviews, CI/CD
pipelines, and automated deployments.
● Participate in Agile development processes and collaborate effectively with global and offshore
teams to ensure high-quality delivery.
Required
Preferred
All fields marked * are required
Key Responsibilities
● Design, develop, and maintain scalable data transformation pipelines using SQL, dbt, and Jinja
templating.
● Build and optimize dimensional data models in dbt to support analytics, reporting, and BI
consumption.
● Collaborate with Product, Analytics, and BI teams to translate business requirements into robust
analytical data models.
● Perform exploratory data analysis (EDA) using SQL, Excel, and other analytical tools to validate
business requirements and uncover insights.
● Enhance and maintain analytics engineering codebases, including dbt models, macros, packages,
tests, and documentation.
● Implement data quality frameworks, automated testing, and governance-aligned transformation
logic.
● Optimize SQL workloads and analytical queries through partitioning, clustering, materialization
strategies, and performance tuning techniques.
● Ensure consistency of business metrics, semantic definitions, and data logic across dashboards
and reporting platforms.
● Apply software engineering best practices, including version control, code reviews, CI/CD
pipelines, and automated deployments.
● Participate in Agile development processes and collaborate effectively with global and offshore
teams to ensure high-quality delivery.
Required
Preferred