Snowflake Developer / Analyst

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Expert level SQL programming is REQUIRED for this position

Job Details

Job Details:

Title: Snowflake Developer / Analyst

Duration: 14+ months with a high possibility of extension

Location: Tallahassee, FL 32399 (onsite from day one)

Required Skills:

*) Candidate must have a minimum of 3 years of experience in data engineering, analytics, or cloud data warehousing, with at least 2 years of hands-on experience designing and implementing solutions using the Snowflake Data Cloud platform.

*) Expert-level SQL programming is REQUIRED for this position.

*) Proven experience with Snowflake platform architecture and data warehousing concepts.

*) Expertise in building efficient, secure, and scalable data models in Snowflake using views, materialized views, and secure shares.

*) Strong knowledge of ELT/ETL patterns and tools (e.g., dbt, Airflow, Talend, Informatica, MS SSIS, Fivetran).

*) Solid understanding of data governance, security roles, masking policies, and RBAC within Snowflake.

*) Experience working with cloud storage integrations (e.g., AWS S3, Azure Blob) and external tables in Snowflake.

*) Familiarity with dimensional modeling (Star/Snowflake Schema), OLAP concepts, and reporting layers for BI tools.

*) Strong communication and analytical skills for working with cross-functional teams and converting data requirements into technical solutions.

*) Strong understanding of current data governance concepts and best practices.

*) Knowledge of data migration best practices from external data sources and legacy systems (e.g., mainframe, DB2, MS SQL Server, Oracle) into Snowflake.

Preferred KSAs:

*) Experience with data visualization tools (Power BI, Tableau, Looker) and building BI semantic models using Snowflake as a backend.

*) Experience working with financial, ERP, or general ledger data in a reporting or analytics capacity.

*) Exposure to mainframe systems, legacy flat files, and their integration with cloud-based platforms.

*) Familiarity with Agile/SCRUM frameworks and experience working in iterative development cycles.

*) Experience with Oracle Data Warehouse.

*) Understanding of DevOps and CI/CD practices in data engineering (e.g., Git, dbt Cloud, or GitHub Actions).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.