Workiy Inc.
11 - 50 employees
Founded 2008
đź’Ľ Consulting
đź“Ł Marketing
🛍️ eCommerce
Consulting • Marketing • eCommerce
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.
Senior Data Engineer
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Workiy Inc.
11 - 50 employees
Founded 2008
đź’Ľ Consulting
đź“Ł Marketing
🛍️ eCommerce
Consulting • Marketing • eCommerce
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.
đź“‹ Description
• Design, develop, and maintain scalable data solutions for a large-scale digital transformation initiative • Work closely with business stakeholders, product owners, data architects, and technical teams • Build reliable data pipelines • Integrate diverse data sources • Deliver trusted, analytics-ready datasets • Work heavily with the Microsoft Azure data ecosystem
🎯 Requirements
• Minimum 5 years of hands-on experience with Python and SQL for data engineering • Minimum 3 years of experience with Azure services, including Azure Storage, Azure SQL, Azure Synapse, and Azure networking • Minimum 3 years of hands-on experience with Azure Databricks and Delta Lake • Minimum 3 years of experience designing data solutions and developing trusted, analytics-ready datasets • Minimum 4 years of experience using version control systems such as Git • Minimum 1 year of experience using AI tools for code generation, data analysis, automation, optimization, or related data engineering activities • Strong understanding of data engineering principles, ETL/ELT processes, data integration, and data pipelines • Strong SQL development and data transformation skills • Experience working with cloud-based data platforms and modern data architectures • Strong problem-solving, analytical, and communication skills
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