Data Engineer/Developer (Snowflake)

placePhoenix calendar_month 

Overview:

Cayuse Commercial Services (CCS) delivers fresh solutions to business challenges in the technology and business services environment. Services available are application development, business process outsourcing, data services, and professional services.

Cayuse helps clients to achieve impactful outcomes such as improved efficiency, reduced cost, increased profitability and accelerated time to market.

Responsibilities:

LOCATION: Phoenix, AZ (Hybrid)

EMPLOYEE TYPE: Contractor (1099/C2C)

Qualifications:

We are seeking a skilled Snowflake Developer to join our team. The ideal candidate will have extensive experience in Snowflake development, strong SQL expertise, and a solid understanding of data warehousing principles. This role involves working with ETL processes, cloud platforms (AWS or Azure), and analytics tools to build scalable and efficient data solutions.

If you have a problem-solving mindset and can perform under pressure, we’d love to hear from you!

Key Responsibilities:

  • Design, develop, and optimize Snowflake data solutions.
  • Implement and maintain data warehousing best practices.
  • Write and optimize complex SQL queries for data extraction and transformation.
  • Work with ETL processes to integrate data from multiple sources.
  • Collaborate with teams to deploy data solutions on AWS or Azure.
  • Utilize analytics tools to derive insights from data.
  • Troubleshoot and resolve performance issues related to data processing.
  • Ensure data security, quality, and compliance with industry standards.

Required Skills & Experience:

  • 4+ years of experience working with Snowflake.
  • Strong understanding of data warehousing principles.
  • Advanced SQL expertise, including query optimization.
  • Hands-on experience with ETL processes and data integration.
  • Proficiency in cloud platforms like AWS or Azure.
  • Familiarity with analytics tools for reporting and insights.
  • Strong problem-solving skills and ability to work in fast-paced environments.
  • Ability to work under pressure and meet deadlines.

Preferred Qualifications:

  • Experience with Python, Spark, or other data processing frameworks.
  • Knowledge of data governance and security best practices.
  • Previous experience in big data processing and performance tuning

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.

Pay Range: USD $75.00 - USD $85.00 /Hr.

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