Snowflake Developer, Rate - DOE on C2C, Sacramento, CA (Hybrid)

Hybrid in Sacramento, CA, US • Posted 22 hours ago • Updated 14 hours ago
Contract W2
Contract Corp To Corp
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • API
  • Access Control
  • Amazon Web Services
  • Cloud Computing
  • Collaboration
  • Data Architecture
  • Data Integration
  • Data Modeling
  • Data Quality
  • Data Security
  • Data Warehouse
  • Design Of Experiments
  • Documentation
  • ELT
  • Shell Scripting
  • Snow Flake Schema
  • Microsoft Azure
  • Performance Tuning
  • Query Optimization
  • Extract
  • Transform
  • Load
  • Good Clinical Practice
  • Google Cloud Platform
  • Informatica
  • Python
  • SQL
  • Scripting
  • Star Schema
  • Stored Procedures
  • Talend

Summary

Job Summary
We are seeking a skilled Snowflake Developer to design, develop, and maintain scalable data solutions on the Snowflake cloud data platform. The ideal candidate will have strong expertise in data warehousing, ETL/ELT processes, and cloud technologies, along with hands-on experience in Snowflake.
Key Responsibilities
Design and implement data models using Snowflake (schemas, tables, views).
Develop and optimize ETL/ELT pipelines for data ingestion and transformation.
Write efficient SQL queries, stored procedures, and Snowflake tasks.
Integrate Snowflake with other data tools and platforms (e.g., AWS, Azure, APIs).
Monitor, troubleshoot, and optimize Snowflake performance and cost usage.
Implement data security, governance, and access control policies.
Collaborate with data engineers, analysts, and business stakeholders.
Maintain documentation for data architecture and processes.
Ensure data quality, integrity, and consistency across systems.
Required Skills & Qualifications
Strong experience with Snowflake Data Cloud platform.
Proficiency in SQL and data modeling techniques.
Experience with ETL/ELT tools (e.g., Informatica, Talend, dbt, Matillion).
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
Understanding of data warehousing concepts (star schema, snowflake schema).
Experience with performance tuning and query optimization.
Familiarity with scripting languages (Python, Shell scripting) is a plus.
Knowledge of data integration and API handling.
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: 91094174
  • Position Id: 8918707
  • Posted 22 hours ago
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