Snowflake Data Engineer / Data Migration Engineer

Conch Technologies

Tukwila, WA, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Data Analysis Apache HTTP Server Microsoft Azure Cloud Computing Continuous Integration Data Validation Information Engineering Data Integration Extract Transform Load (ETL) Data Mart Data Migration

+25 more

Data Warehousing DevOps Programming Tools Github Microsoft Visual Studio Microsoft SQL Server Query Optimization Power BI Software Tools Azure DevOps Pipelines Software Configuration Management SQL Stored Procedures SQL Server Integration Services SQL Server Analysis Services Transact-SQL Azure Data Factory Delivery Pipeline Snowflake Git Flow Storage Technologies Maintaining Code Cloud Migration Software Coding Software Version Control Data Pipelines

Job description

We are seeking an experienced Snowflake Data Engineer / Data Migration Engineer to support the Finance Data Mart team in a large-scale migration initiative. The ideal candidate will have strong expertise in Snowflake, Azure Data Factory, SQL Server migrations, ETL development, and Power BI semantic models. This role requires hands-on experience with modern data engineering practices, CI/CD automation, and cloud-based analytics solutions. Required Skills Snowflake Development

Requirements

Strong hands-on experience with Snowflake development and administration.
Experience converting SQL Server T-SQL stored procedures and processes into Snowflake.
Expertise in translating SQL Server DDL objects to Snowflake.
Experience designing and developing migration frameworks for moving data from SQL Server to Snowflake.
Strong knowledge of data validation, reconciliation, and migration testing.
Experience optimizing Snowflake performance and query tuning.

ETL & Data Integration

Experience converting SSIS packages into Azure Data Factory (ADF) pipelines.
Strong knowledge of Azure Data Factory setup and configuration for Development, Pre-Production, and Production environments.
Experience designing scalable and reusable ETL frameworks.
Knowledge of Apache Iceberg storage technology.

Azure DevOps & CI/CD

Experience creating and maintaining Azure DevOps CI/CD release pipelines.
Experience automating deployments for data engineering solutions.

Source Control

Strong experience with GitHub.
Knowledge of branching strategies, repository management, and deployment workflows.
Experience improving source control and DevOps processes.

Analytics & Reporting

Experience developing and maintaining SSAS Cubes using Visual Studio.
Experience migrating SSAS Cubes or Semantic Models to Power BI Semantic Models.
Ability to validate migrated models and optimize performance.

AI-Assisted Development

Experience using AI-powered development tools to improve productivity while maintaining coding standards.
Experience with Snowflake AI Migration (AIM) tools is a plus., * Strong SQL Server and Snowflake development experience.
Experience with Azure Data Factory and cloud-based ETL development.
Strong understanding of data warehouse design and migration methodologies.
Experience with Azure DevOps, GitHub, and CI/CD best practices.
Excellent analytical, troubleshooting, and problem-solving skills.
Strong communication and collaboration skills.

Preferred Qualifications

Experience with Apache Iceberg.
Experience with Power BI Semantic Models.
Familiarity with AI-assisted software development tools.
Experience working on enterprise-scale cloud migration projects., POSITION Data Engineer LOCATION Tukwila, WA (hybrid) Local to WA only! REQUIRED SKILLS * Experience leveraging AI tools to accelerate development while maintaining code qua…
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