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Blue Altair

Data-driven digital transformation and API integration

Analyst / Consultant / Senior Consultant - Fullstack Developer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Proven experience as a Full Stack Developer or in a similar role.
  • Experience developing desktop and mobile applications.
  • Familiarity with common technology stacks.
  • Knowledge of multiple front-end languages and libraries, such as HTML, CSS, JavaScript, XML, and jQuery.
  • Knowledge of multiple back-end languages, such as C#, Java, and Python, and JavaScript frameworks, such as Angular, React, and Node.js.
  • Familiarity with databases, such as MySQL and MongoDB, web servers, such as Apache, and UI/UX design.
  • A degree in Computer Science, Statistics, or a relevant field.
  • Excellent communication and teamwork skills.
  • Great attention to detail.
  • Organizational skills.
  • An analytical mind.

Responsibilities

  • Work with development teams and product managers to ideate software solutions.
  • Design client-side and server-side architecture.
  • Build the front end of applications through appealing visual design.
  • Develop and manage well-functioning databases and applications.
  • Write effective APIs.
  • Test software to ensure responsiveness and efficiency.
  • Troubleshoot, debug, and upgrade software.
  • Create security and data protection settings.
  • Build features and applications with a mobile-responsive design.
  • Write technical documentation.
  • Work with data scientists and analysts to improve software.

About the Company

Blue Altair

Data-driven digital transformation and API integration

Blue Altair is a technology and business consulting firm that helps clients with digital transformation by treating data as a core asset. Its offerings center on data management (data governance, metadata management, data quality), API ecosystem development and management to integrate systems and reduce duplication, and applying machine learning and responsible AI to derive insights, automate manual tasks, and optimize outcomes. The company uses automated frameworks and a digital transformation strategy that blends ML/AI tools, business analytics, and QA as a Service (QAaaS). It serves forward-thinking, agile organizations building modern cloud-based architectures (microservices, DevSecOps) to meet customer needs. Its goal is to enable organizations to capture, store, process, and analyze data effectively to improve decisions and operations.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2015

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