Overview
Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Snowflake Developer
Snowflake
Access Control
Amazon Web Services
Analytical Skill
Analytics
Artificial Intelligence
Attention To Detail
Authentication
Authorization
Big Data
Business Intelligence
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Data Architecture
Data Engineering
Data Warehouse
Database Administration
Database Design
DevOps
Dimensional Modeling
Data Integration
Data Loading
Data Modeling
Data Security
Extract
Transform
Load
Database
Data Visualization
Documentation
Effective Communication
Regulatory Compliance
Microsoft Power BI
Motivation
Performance Tuning
Information Technology
Reporting
Query Optimization
Requirements Elicitation
Mergers and Acquisitions
Microsoft Azure
Problem Solving
Python
ELT
Encryption
Extraction
Snow Flake Schema
Storage Management
IDP
GitHub
Technical Support
Identity Management
Management
SQL
Scripting
Strategic Thinking
Teamwork
Transact-SQL
Version Control
Job Details
Position: Snowflake Developer
Location: Boston, MA (Hybrid 2 days/week onsite)
Job Type: Contract Long-term
Required Skills and Qualifications:
- 5+ years of experience in data architecture, data engineering, or database development.
- 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security.
- At a minimum, a Bachelor s degree in Computer Science, Information Technology, or a related field.
- Experience with source control tools (GitHub preferred), ETL/ELT tools, and cloud platforms (AWS preferred).
- Experience or exposure to AI tools.
- Deep understanding of data warehousing concepts, dimensional modeling, and analytics.
- Excellent problem-solving and communication skills.
- Experience integrating Snowflake with BI and reporting tools is a plus
- Strong proficiency in Snowflake architecture, features, and capabilities.
- Knowledge of SQL and Snowflake-specific query optimization.
- Experience with ETL tools and data integration processes.
- Strong proficiency in SQL and Python.
- Strong Database design and data modelling experience. Experience with data modeling tools.
- Ability to identify and drive continuous improvements.
- Strong problem-solving and analytical skills.
- Demonstrated process-oriented and strategic thinking skills.
- Strong motivation and a desire to continuously learn and grow.
- Knowledge of Snowflake security features, including access control, authentication, authorization, encryption, masking, secure view, etc.
- Experience working in AWS cloud environments.
- Experience working with Power BI and other BI, data visualization, and reporting tools.
- Business requirement gathering and aligning to solution delivery.
- Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud-based and on-premises technologies.
- Experience integrating Snowflake with an identity and access management program, such as Azure IDP, is a plus.
- Experience with other relational database management systems, cloud data warehouses, and big data platforms is a plus.
- Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail.
- Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders.
- Teamwork: Ability to work independently and collaboratively in a fast-paced environment.
Preferred Skills:
- Snowflake certification (e.g., SnowPro Core or Advanced Certification).
- Experience with data visualization tools (e.g., Power BI).
- Knowledge of technical areas such as T-SQL, DevOps, and scripting.
Key Responsibilities:
- Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management.
- User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies.
- Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction.
- Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization.
- Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage.
- Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment.
- Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance.
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.