Trusted Workforce Solutions
B2B • Recruitment • HR Tech
Trusted Workforce Solutions is dedicated to empowering businesses by connecting them with the right talent and assisting job seekers in finding meaningful employment. With a focus on executive staffing and personalized job search support, the company aims to unite employers with candidates under a shared vision for success. They also offer resources for career development, including resume polishing and interview preparation, to enhance job seekers' chances in the competitive job market.
2 - 10 employees
🤝 B2B
🎯 Recruiter
👥 HR Tech
Senior Data Architect
Job not on LinkedIn
July 10
Trusted Workforce Solutions
B2B • Recruitment • HR Tech
Trusted Workforce Solutions is dedicated to empowering businesses by connecting them with the right talent and assisting job seekers in finding meaningful employment. With a focus on executive staffing and personalized job search support, the company aims to unite employers with candidates under a shared vision for success. They also offer resources for career development, including resume polishing and interview preparation, to enhance job seekers' chances in the competitive job market.
2 - 10 employees
🤝 B2B
🎯 Recruiter
👥 HR Tech
📋 Description
• Shape the foundation of company’s data ecosystem • Design scalable, efficient data architectures • Foster collaboration and mentorship across teams • Drive innovative solutions that unlock insights • Ensure compliance with healthcare data regulations
🎯 Requirements
• Minimum of 5 years of experience as a data architect in analytical and data sciences environments • 5 years in data engineering or architectural roles • Master's degree in Computer Science or Computer Engineering with 10 years of experience, or a Bachelor's degree in Computer Science or Computer Engineering with 15 years of experience • Extensive expertise in Structured Query Language, Enterprise Data Warehouse, ELT/ETL, and data governance • Experience in programming languages (Python or Scala preferred) • Experience in database technologies such as Snowflake, BigQuery, relational, Not Only Structured Query Language, and cloud-based data platforms
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