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# Snowflake Developer

- **Company:** Radiantze Inc
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Code Review, Data Validation, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Mining, Data Security, Data Warehousing, Database Theory, Python (Programming Language), Performance Tuning, Standard Sql, SQL Stored Procedures, Talend, Scripting, Freeform SQL, Google Cloud, Data Ingestion, Azure Data Factory, Informatica Powercenter, Snowflake, Apache Spark, Git, Apache Kafka, Data Pipelines, Databricks
- **Published:** September 28, 2026
- **Apply:** https://www.dice.com/job-detail/de6a8ff7-cb23-482a-a196-8b361d0f5283

## About the Role

* Strong hands-on experience with Snowflake.
 * Strong SQL development experience.
 * Hands-on DPT / Data Pipeline Transformation experience.
 * Experience with ETL/ELT development and data warehousing.
 * Experience with Python or scripting.
 * Strong understanding of data modeling and database concepts.
 * Experience with tools such as DBT, Informatica, Matillion, Talend, or Azure Data Factory.
 * Experience with Git and CI/CD processes.

Preferred Skills:

 * SnowPro certification.
 * Experience with AWS/Azure/Google Cloud Platform.
 * Knowledge of Apache Airflow, Databricks, Spark, or Kafka.
 * Experience with large-scale data migration and performance tuning.
 * Experience working in Agile development environments.

## Description

We are looking for a Snowflake Developer with strong DPT (Data Pipeline/Development & Transformation) experience to design, develop, and maintain scalable data solutions using Snowflake. The candidate should have strong SQL, ETL/ELT, data transformation, and cloud data warehouse experience., * Develop and maintain Snowflake data warehouse solutions and data pipelines.

 * Design and implement ETL/ELT processes for data ingestion and transformation.
 * Develop complex SQL queries, stored procedures, views, and data transformations.
 * Work extensively with DPT processes, including data extraction, transformation, validation, and loading.
 * Build and maintain scalable data pipelines using Snowpipe, Streams, Tasks, and Dynamic Tables.
 * Perform data migration and integration from multiple source systems into Snowflake.
 * Optimize Snowflake queries, warehouses, and data models for performance and cost.
 * Implement data quality checks and troubleshoot data pipeline issues.
 * Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Collaborate with data engineers, architects, business analysts, and QA teams.
 * Follow best practices for data security, governance, and access control.
 * Participate in code reviews, testing, deployment, and production support.


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