Solution Engineer - Forecasting and Replenishment - Deerfield, IL

Overview

On Site
Depends on Experience
Contract - Independent
Contract - 12 Month(s)

Skills

Java
Spark (Scala/Python)
Azure Data Factory
Azure Cosmos DB
Azure SQL Server
Azure Databricks
Java 11
Spring Boot
Kubernetes
Azure Functions
C#
Angular 9
TypeScript 3.8
App Insights

Job Details

Solution Engineer - Forecasting and Replenishment

Deerfield, IL (Hybrid - 3 days/week onsite)

6+ months contract

Key Technology: Apache Spark, Azure, Spring, Java

  • 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.
  • 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.

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