
HR Tech • Recruitment
Sustainable Talent is a global leader in talent acquisition and recruitment solutions, specializing in diversity, equity, inclusion, and belonging (DEIB) initiatives. They provide scalable staffing and recruitment services, including executive search, recruitment process outsourcing (RPO), and on-demand talent solutions, to help organizations attract and retain diverse, top-tier talent. Sustainable Talent leverages advanced technology, including AI-driven recruitment tools, to enhance candidate experience and streamline hiring processes. Their services empower businesses across various industries, such as technology, healthcare, finance, and manufacturing, to meet dynamic staffing needs efficiently and effectively.
51 - 200 employees
👥 HR Tech
🎯 Recruiter
July 3

HR Tech • Recruitment
Sustainable Talent is a global leader in talent acquisition and recruitment solutions, specializing in diversity, equity, inclusion, and belonging (DEIB) initiatives. They provide scalable staffing and recruitment services, including executive search, recruitment process outsourcing (RPO), and on-demand talent solutions, to help organizations attract and retain diverse, top-tier talent. Sustainable Talent leverages advanced technology, including AI-driven recruitment tools, to enhance candidate experience and streamline hiring processes. Their services empower businesses across various industries, such as technology, healthcare, finance, and manufacturing, to meet dynamic staffing needs efficiently and effectively.
51 - 200 employees
👥 HR Tech
🎯 Recruiter
• Designing, implementing, testing, and maintaining data management systems involving large data sets collected from content delivery networks (CDNs), and other sources (e.g. GitHub). • Building data processing applications with core design principles of scalability, maintainability, security, and coding best practices. • Developing and implementing best practices for building data products, including data mining, data modeling, and access interfaces (e.g. SQL views, API services, etc). • Implementing company-wide data policies to protect Personally Identifiable Information (PII) data. • Designing and implementing comprehensive error handling, fault tolerance, and monitoring/alerting systems. • Developing automated test routines that perform unit, functional, and system testing. • Working directly with data analysts and product marketing leads to diagnose and resolve issues that arise in day-to-day data operations.
• BS degree in Computer Science, or equivalent experience. • 6+ years experience in data engineering/analytics using SQL, Python, regular expressions. • Experience working on 3rd-party integrations, including REST API integrations and ETL standard processes. • Familiarity with source code repository workflows, including CI/CD pipelines. • Strong analytical, problem solving, and interpersonal skills. • Experience working with Amazon Web Services (AWS), particularly AWS Lambda.
• full benefits • PTO • amazing company culture!
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