Snowflake Developer
seeking a highly skilled, experienced and motivated Snowflake Architect/Developer to join our team. The ideal candidate will have deep experience with Snowflake, data modeling, ETL/ELT processes, and cloud data architecture. You will work closely with Snowflake architecture team to deliver scalable, high-performance solutions that meet business analytics and reporting requirements. This role requires a deep understanding of Snowflake’s features and best practices, as well as strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
Requirements
Key Responsibilities:
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Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management.
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User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies.
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Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction.
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Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization.
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Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage.
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Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment.
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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.
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Qualifications and Experience:
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5 years of experience in data architecture, data engineering, or database development.
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2 years of hands-on experience with Snowflake, including data modeling, performance tuning, and security.
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At a minimum Bachelor’s degree in Computer Science, Information Technology, or related field.
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Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred).
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Experience or exposure to AI tools.
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Deep understanding of data warehousing concepts, dimensional modeling, and analytics.
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Excellent problem-solving and communication skills.
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Experience integrating Snowflake with BI and reporting tools is a plus
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Required Skills:
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Strong proficiency in Snowflake architecture, features, and capabilities.
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Knowledge of SQL and Snowflake-specific query optimization.
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Experience with ETL tools and data integration processes.
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Strong proficiency in SQL and Python.
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Strong Database design and data modelling experience. Experience with data modeling tools.
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Ability to identify and drive continuous improvements.
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Strong problem solving and analytical skills.
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Demonstrated process-oriented and strategic thinking skills.
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Strong motivation and a desire to continuously learn and grow.
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Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc.
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Experience working in AWS cloud environments.
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Experience working with Power BI and other BI, data visualization, and reporting tools.
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Business requirement gathering and aligning to solutions delivery.
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Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies.
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Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus.
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Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus.
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Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail.
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Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders.
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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.