EY GDS - Solution Architect

Job description

- Bachelor's or Masters degree in Engineering

- 8+ years of solid Programming Experience

- Minimum of 3 years of experience in technical leadership role

- Minimum of 3 years of working in Azure Platform and Data Engineering Projects

Skills Required:

- Experience in developing and delivery technical solutions for Microsoft-centric solutions based on industry standards using Azure IaaS, PaaS and SaaS capabilities.

- Hands on experience in Azure Data Factory, Azure Data Lake, Azure Storage, Azure Data Bricks, and Azure Data Lake Analytics.

- Hands on experience in Azure SQL Datawarehouse, and SQL Analysis Service

- Experience in Azure cognitive Search is an added advantage

- Experience in Azure Logic Apps, and Azure Functions/Durable Functions is a plus

- Experience in handling structured and unstructured data.

- Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools

- Knowledge of programming and scripting languages such as JavaScript, Angular, .NET, Python and etc..

- Knowledge of Azure DevOps is added advantage

Job Description:

- The tech lead shall develop and deliver using set of technologies that meets current and future demands of the business.

- Develop and Lead the Development with Microsoft and/or Open Source Technologies

- Provide technical troubleshooting for the team members

- Hold functional responsibility for all product development phases from concept to launch including business requirements, user flows/wireframes, functional requirements, QA/testing, and post-launch monitoring and optimization

- Ensure solutions are delivered meeting necessary timeline requirements

- Stay current on implementation of multiple application development platforms

- Establish and cultivate a culture of test and learn, continually identifying new test ideas with an eye on improving the customer experience across all device types

- Develop and Implement performance-oriented applications.

- Estimate the project, and identify the technical risks.

- Collaborate with Architect on developing technical roadmap and create technical decision documents Working experience with Visual Studio, PowerShell Scripting, and ARM templates

- Knowledge of Lambda and Kappa architecture patterns.

- Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Blob Storage, Data Lake, etc.

- Knowledge of Master Data Management (MDM) and Data Quality tools and processes.

- Ability to help customers engineer Azure Data Solutions based on current on-premise data centers.

- Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.

- Independent and able to manage and prioritize workload.

- Ability to quickly and positively adapt to change.