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Design and implement robust, scalable data pipelines using Snowflake and modern ETL/ELT frameworks.
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
Optimize Snowflake performance through clustering, partitioning, and query tuning.
Develop and maintain data models (star/snowflake schemas) and data marts for enterprise reporting.
Integrate data from diverse sources including APIs, cloud storage (AWS/GCP/Azure), and on-prem systems.
Ensure data quality, security, and governance through automated validation, masking, and role-based access controls.
Support CI/CD workflows and infrastructure-as-code practices using tools like Git
Technology/Tools: Sigma*, Snowflake (Datawarehouse), Azure...
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