Solution Engineer - Forecasting and Replenishment

Job Title: Solution Engineer - Forecasting and Replenishment
Job Location: Deerfield, IL (Hybrid - 3 days/week onsite)
Employment Type: C2H
Key Technology: Apache Spark, Azure, Spring, Java
Tech Stack: Spark (Scala/Python), Azure Data Factory, Logic Apps, Azure Service Bus, Azure Cosmos DB, Azure SQL Server, Azure Blob Storage, ADLS Gen2, Azure Databricks, Java 11, rxJava 2.2.x, Spring Boot 2.6.15, Kubernetes, Azure Functions, C#, Angular 9, TypeScript 3.8, App Insights, Log Analytics
Job Responsibilities:

• Act as the lead engineer for each domain
• Collaborate with Solution Architects to ensure understanding needed for engineering level guidance to nearshore teams
• Translate architecture design to engineering level guidance
• Own specifying architectural designs into sprint-ready engineering tasks for assigned domain
• Ensure delivery to the solution architecture within domain
• Answer design questions for sprint teams
• Participate in backlog refinement sessions to align team with the architecture
• Act as the internal technical expert supporting Product design and Engineering teams on demonstrations and technical discussions.
• Create/Update documentation such as solution design patterns and engineering standards.
• Lead technical discussions around APIs, integrations, data flow, compliance and security.
• Serve as a trusted advisor on best practices, technical implementation, and scalability.

Skills and Experience Required:
Required:

• 8+ years in backend, full-stack, or cloud-based software engineering
  • Must combine skills in both big data engineering and full-stack development.
• Backend development with Java 11, Spring Boot, Kubernetes, Azure Functions (C#)
  • Familiar with Spark-based batch jobs and Spring Boot RESTful APIs
• Frontend integration with Angular 9 and TypeScript 3.8
• Strong understanding of Agile/Scrum delivery frameworks
• Proven experience delivering solutions using Azure PaaS services
  • Strong hands-on skills in Azure Data Factory and Azure Databricks
  • Proficient with Azure Service Bus, App Insights, and Log Analytics
• Solid knowledge of system architecture, API design, and integration patterns
• Experience working with SQL and/or NoSQL databases (Azure Cosmos DB, Azure SQL)
• Experience with Apache Spark (Scala/Python) for distributed data processing
• Knowledge of Cosmos DB, Azure SQL Server, Blob Storage, and ADLS Gen2
• Experience bridging between UI/backend microservices and data pipelines.
• Be confident navigating distributed environments and large data sets.

Screening Questions - Explain in detail for below questions.
Full Name:
Degree Major with University and Completion year?
Last 4 Digit SSN Number:
DOB:
Vaccination Status:
Total experience as Solution Engineer - Forecasting and Replenishment?
Total experience in big data engineering and full-stack development?
Total experience Backend development with Java 11, Spring Boot, Kubernetes, Azure Functions (C#)?
Total experience in Spark-based batch jobs and Spring Boot RESTful APIs?
Total experience in Frontend integration with Angular 9 and TypeScript 3.8?
Contact Number:
E mail Id:
LinkedIn Id:
Full Address (Street, City, States, Zip Code Required)
Notice period: (in weeks):
Current work authorization status:
Expected Hourly Rates on W2?
Are you ready to relocate on your own expenses and work onsite at Deerfield, IL (Hybrid - 3 days/week onsite) / Commute?