[Remote] Data Scientist IV - Snowflake | SQL | Python | AWS

Qualifications

• Strong experience with Snowflake, including its architecture and data manipulation capabilities
• Experience with Matillion for data integration and transformation, including creating and managing jobs and pipelines
• Strong SQL skills are essential
• Experience in ETL/ELT processes is crucial
• Experience with cloud platforms is often required (e.g., AWS)
• Familiarity with Agile and Scrum methodologies
• Excellent verbal and written communication skills
• Strong problem-solving abilities

Responsibilities

• Data Pipeline Development: Design, build, and maintain data pipelines using Matillion to load and transform data into Snowflake
• Snowflake Management: Utilize strong Snowflake skills for data manipulation, tuning, and creating complex data structures (e.g., tables, views)
• Data Modeling and Warehousing: Conduct data analysis, mapping, and modeling, applying data warehousing concepts to build effective data models
• Performance Optimization: Troubleshoot and optimize the performance of data pipelines and existing workflows
• Collaboration: Work with stakeholders, data engineers, and analysts to understand requirements and deliver solutions
• Documentation: Maintain clear and comprehensive documentation for data processes and architectural decisions

Full Description

Note: The job is a remote job and is open to candidates in USA.

Dice is the leading career destination for tech experts at every stage of their careers.

Our client, Virtual Tech Gurus Inc, is seeking a Data Scientist IV to design, build, and maintain data pipelines, manage Snowflake data, and collaborate with stakeholders to deliver effective data solutions.

Responsibilities

• Data Pipeline Development: Design, build, and maintain data pipelines using Matillion to load and transform data into Snowflake.

• Snowflake Management: Utilize strong Snowflake skills for data manipulation, tuning, and creating complex data structures (e.g., tables, views).

• Data Modeling and Warehousing: Conduct data analysis, mapping, and modeling, applying data warehousing concepts to build effective data models.

• Performance Optimization: Troubleshoot and optimize the performance of data pipelines and existing workflows.

• Collaboration: Work with stakeholders, data engineers, and analysts to understand requirements and deliver solutions.

• Documentation: Maintain clear and comprehensive documentation for data processes and architectural decisions.

Skills

• Strong experience with Snowflake, including its architecture and data manipulation capabilities.

• Experience with Matillion for data integration and transformation, including creating and managing jobs and pipelines.

• Strong SQL skills are essential.

• Experience in ETL/ELT processes is crucial.

• Experience with cloud platforms is often required (e.g., AWS).

• Familiarity with Agile and Scrum methodologies.

• Excellent verbal and written communication skills.

• Strong problem-solving abilities.

Company Overview

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It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is https://www.dice.com.