Workiy Inc.
11 - 50 employees
Founded 2008
🛍️ eCommerce
☁️ SaaS
🤖 Artificial Intelligence
eCommerce • SaaS • Artificial Intelligence
Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.
Data Engineer, Intermediate
Job not on LinkedIn
🕒 2 days ago
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Workiy Inc.
11 - 50 employees
Founded 2008
🛍️ eCommerce
☁️ SaaS
🤖 Artificial Intelligence
eCommerce • SaaS • Artificial Intelligence
Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.
📋 Description
• Support the Digital Regulatory Assurance System (DRAS). • Design, build, and maintain scalable Azure-based data solutions. • Enable analytics, reporting, regulatory compliance, and future AI initiatives.
🎯 Requirements
• Post-secondary degree, diploma, or certificate in Computer Science or a related field. • 5+ years of hands-on experience with Python and SQL for data engineering. • 4+ years of experience using GitHub/Git for version control and collaborative development. • 3+ years of experience with Azure Infrastructure and Services, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Building scalable data pipelines, Designing analytics-ready data platforms. • 2+ years of experience in data governance, metadata management, and security within Azure Databricks environments. • 1+ year of experience using AI-driven tools for code generation, automation, or development productivity.
🏖️ Benefits
• Health insurance • Flexible work arrangements • Professional development
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