Responsibilities
* Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform.
* Build and optimize batch, file-based, and real-time streaming data ingestion processes from multiple sources.
* Develop data transformation logic using Snowflake SQL, stored procedures, and Python.
* Collaborate with architects, analysts, and business teams to translate requirements into technical solutions.
* Monitor and troubleshoot pipeline performance while ensuring data quality and availability.
* Maintain documentation for data flows, models, and system architecture.
* Partner with DevOps teams to implement CI/CD practices for data pipeline deployments.
Required Skills and Experience
* Bachelor's degree in Computer Science, Information Systems, or related field.
* 5+ years of experience in data engineering or similar roles.
* 3+ years of strong hands-on experience with Snowflake , including advanced SQL, stored procedures, and performance tuning.
* Experience with data ingestion methods such as bulk loading, micro-batching, and streaming.
* Strong knowledge of AWS services such as S3, Lambda, and CloudWatch, or Azure services including Data Factory, Event Hubs, Blob Storage, and Azure Functions.
* Experience working in Azure cloud environments.
* Strong Python programming skills for automation, integrations, and data processing.
* Good experience with SQL Server and relational databases.
* Knowledge of data modeling, security, governance, and best practices.
* Experience with Git and collaborative development environments.
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* Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform.
* Build and optimize batch, file-based, and real-time streaming data ingestion processes from multiple sources.
* Develop data transformation logic using Snowflake SQL, stored procedures, and Python.
* Collaborate with architects, analysts, and business teams to translate requirements into technical solutions.
* Monitor and troubleshoot pipeline performance while ensuring data quality and availability.
* Maintain documentation for data flows, models, and system architecture.
* Partner with DevOps teams to implement CI/CD practices for data pipeline deployments.
Required Skills and Experience
* Bachelor's degree in Computer Science, Information Systems, or related field.
* 5+ years of experience in data engineering or similar roles.
* 3+ years of strong hands-on experience with Snowflake , including advanced SQL, stored procedures, and performance tuning.
* Experience with data ingestion methods such as bulk loading, micro-batching, and streaming.
* Strong knowledge of AWS services such as S3, Lambda, and CloudWatch, or Azure services including Data Factory, Event Hubs, Blob Storage, and Azure Functions.
* Experience working in Azure cloud environments.
* Strong Python programming skills for automation, integrations, and data processing.
* Good experience with SQL Server and relational databases.
* Knowledge of data modeling, security, governance, and best practices.
* Experience with Git and collaborative development environments.
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Senior Snowflake Developer in snowflake at Unknown Company
This position is listed as full time and onsite.