Job Description

Workplace Setting: Hybrid (3 days a week On-Site)

Locations: Carrollton Headquarters (Carrollton, GA) or The Battery Atlanta (Atlanta, GA)

Snowflake developer 8 to 12 years of relevant experience

Technical Skills:

Knowledge of SQL language and cloud-based technologies

Data warehousing concepts, data modeling, metadata management

Data lakes, multi-dimensional models, data dictionaries

Migration to AWS or Azure Snowflake platform

Performance tuning and setting up resource monitors

Snowflake modeling roles, databases, schemas

SQL performance measuring, query tuning, and database tuning

ETL tools with cloud-driven skills

Integration with third-party tools

Ability to build analytical solutions and models

Coding in languages like Python, Java, JavaScript

Root cause analysis of models with solutions

Hadoop, Spark, and other warehousing tools

Managing sets of XML, JSON, and CSV from disparate sources

SQL-based databases like Oracle SQL Server, Teradata, etc.

Snowflake warehousing, architecture, processing, administration

Data ingestion into Snowflake

Enterprise-level technical exposure to Snowflake applications

Snowflake Developer Roles and Responsibilities

Create, test, and implement enterprise-level apps with Snowflake

Design and implement features for identity and access management

Create authorization frameworks for better access control

Implement novel query optimization, major security competencies with encryption

Solve performance issues and scalability issues in the system

Transaction management with distributed data processing algorithms

Possess ownership right from start to finish

Build, monitor, and optimize ETL and ELT processes with data models

Migrate solutions from on-premises setup to cloud-based platforms

Understand and implement the latest delivery approaches based on data architecture

Project documentation and tracking based on understanding user requirements

Perform data integration with third-party tools including architecting, designing, coding, and testing phases

Manage documentation of data models, architecture, and maintenance processes

Continually review and audit data models for enhancement

Maintenance of ideal data pipeline based on ETL tools

Coordination with BI experts and analysts for customized data models and integration

Code updates, new code development, and reverse engineering

Performance tuning, user acceptance training, application support

Maintain confidentiality of data

Risk assessment, management, and mitigation plans

Regular engagement with teams for status reporting and routine activities

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.

• Dice Id: innom
• Position Id: 8536395

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