⋮IWConnect
201 - 500 employees
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Enterprise • SaaS • Artificial Intelligence
⋮IWConnect is a company that specializes in providing a wide range of technology solutions aimed at enhancing business operations and fostering innovation. Their offerings include AI solutions, enterprise application development, integration, data analytics, business enablement, and cloud solutions. Additionally, they provide virtual assistant products and eCommerce enhancements. The company is committed to sustainability and creating a positive social impact, focusing on reducing their carbon footprint and supporting local communities. As a trusted partner, they emphasize reliability, technical expertise, and collaborative problem-solving to build a better world.
B2B Data Engineer
Job not on LinkedIn
🕒 March 1
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⋮IWConnect
201 - 500 employees
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Enterprise • SaaS • Artificial Intelligence
⋮IWConnect is a company that specializes in providing a wide range of technology solutions aimed at enhancing business operations and fostering innovation. Their offerings include AI solutions, enterprise application development, integration, data analytics, business enablement, and cloud solutions. Additionally, they provide virtual assistant products and eCommerce enhancements. The company is committed to sustainability and creating a positive social impact, focusing on reducing their carbon footprint and supporting local communities. As a trusted partner, they emphasize reliability, technical expertise, and collaborative problem-solving to build a better world.
📋 Description
• Building a network of Data Engineers for data-driven initiatives • Projects include data pipeline development, cloud-based data platforms, ETL processes, data architecture, and analytics enablement • Seeking independent consultants and B2B contractors for future project-based opportunities
🎯 Requirements
• Experienced B2B Data Engineer • Proficiency in Python, PySpark, Airflow, dbt, Databricks, AWS, Azure, GCP, SQL
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