Job Description
Key Responsibilities
Architect, develop, and maintain robust data pipelines and ETL/ELT workflows using Snowflake, dbt (data build tool), and AWS Glue to support analytics, reporting, and machine learning workloads.
Lead design, implementation, and optimization of scalable data models, ensuring high performance, maintainability, and data quality.
Collaborate with data analysts, data scientists, and product teams to translate business requirements into efficient data solutions.
Build and enforce best practices for data ingestion, transformation, orchestration, and metadata management, ensuring governance and compliance.
Optimize Snowflake performance through clustering keys, resource monitors, caching, and cost‑effective compute strategies.
Implement automated testing and validation with dbt tests, ensuring accuracy, consistency, and traceability of transformed datasets.
Monitor and troubleshoot data pipelines and failures, driving reliability improvements and incid...
Architect, develop, and maintain robust data pipelines and ETL/ELT workflows using Snowflake, dbt (data build tool), and AWS Glue to support analytics, reporting, and machine learning workloads.
Lead design, implementation, and optimization of scalable data models, ensuring high performance, maintainability, and data quality.
Collaborate with data analysts, data scientists, and product teams to translate business requirements into efficient data solutions.
Build and enforce best practices for data ingestion, transformation, orchestration, and metadata management, ensuring governance and compliance.
Optimize Snowflake performance through clustering keys, resource monitors, caching, and cost‑effective compute strategies.
Implement automated testing and validation with dbt tests, ensuring accuracy, consistency, and traceability of transformed datasets.
Monitor and troubleshoot data pipelines and failures, driving reliability improvements and incid...
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