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Quest Global

Engineering services, digital transformation, asset management

Data Engineer

Data EngineeringPosted on Nov 6
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Thorough knowledge of AWS services and cloud-native application development.
  • Strong experience with Apache Spark using Scala, Java, or Python.
  • Proficiency in Python development.
  • Deep understanding of developing, optimizing, and running Spark workloads on AWS EMR.
  • Strong programming skills in Scala, Java, and/or Python.
  • Strong understanding of NoSQL databases, preferably MongoDB Atlas.
  • Experience building and maintaining CI/CD pipelines and DevOps practices.
  • Hands-on experience building AI-powered solutions using RAG (Retrieval-Augmented Generation) pipelines, AI Agents and Agent Skills, AWS Bedrock, and Bedrock AgentCore.
  • Experience with open-source AI frameworks such as LangChain and LlamaIndex.
  • Experience building AI agents and automation solutions using Generative AI technologies.
  • Hands-on experience with GitHub Copilot, Codex, or similar AI-assisted development tools.
  • Strong analytical, problem-solving, debugging, and troubleshooting skills.
  • Experience with Git and collaborative software development practices.
  • Ability to work effectively in cross-functional and Agile teams.

Responsibilities

  • Design, develop, and maintain scalable cloud-native applications and platform services on AWS.
  • Build and support large-scale data processing solutions using Apache Spark and AWS EMR.
  • Develop AI-powered applications using Generative AI technologies, RAG architectures, AI Agents, and AWS Bedrock services.
  • Create and maintain CI/CD pipelines to enable reliable and automated software deployments.
  • Design, implement, and optimize NoSQL database solutions, preferably MongoDB Atlas.
  • Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality software products.
  • Perform code reviews and follow engineering best practices for coding, testing, performance, and security.
  • Leverage GenAI tools and AI-assisted development practices to improve productivity and delivery outcomes.
  • Design and develop AI-powered agents and automation solutions that provide measurable business value.
  • Participate in Agile ceremonies, sprint planning, estimation, and technical discussions.
  • Continuously improve application performance, user experience, and engineering efficiency.
  • Troubleshoot complex application, infrastructure, and data processing issues.
  • Contribute to architectural discussions and technology strategy initiatives.

Desired Qualifications

  • Hands-on experience in Scala development.
  • Experience with cloud-native architectures and microservices.
  • Familiarity with MLOps and AI deployment best practices.
  • Strong problem-solving and collaboration skills.
  • Demonstrate an AI-first mindset in software development and engineering practices.
  • Ability to create AI agents and automation solutions that deliver measurable business value.
  • Experience or interest in developing AI-powered solutions using the AWS Bedrock ecosystem.
  • Proactively leverage managed AI models and platforms to improve productivity and innovation.
  • Balance delivery excellence with innovation and continuous improvement.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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