NielsenIQ

Software Engineer (Oracle PL/SQL, Python AND AI)

NielsenIQ
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8 hours ago
Chennai, IndiaMid Level / Senior

Responsibilities

  • Design and develop solutions using Oracle PL/SQL, Python, cloud platforms, and Unix shell scripting.
  • Design, develop, and deploy AI and Generative AI solutions, models, and MCP implementations aligned with business requirements.
  • Own high-level solution design and build maintainable, scalable data processing engines.
  • Configure, monitor, and tune database operations and improve process quality.
  • Evaluate and implement emerging technologies and frameworks while solving complex engineering challenges autonomously.
  • Deploy and debug containerized applications on AKS, including distributed deployments and load balancer operations.
  • Collaborate and communicate effectively across technology teams and business stakeholders.

Requirements

  • 2-5 years of experience with Oracle PL/SQL, advanced SQL programming, Python, cloud, and Generative AI.
  • Experience implementing AI solutions in enterprise environments and working with large data sets and robust data processing frameworks.
  • Proven solution design experience and hands-on database configuration, monitoring, and performance tuning skills.
  • Engineering degree in Computer Science, Computer Engineering, Information Technology, or a related field.
  • Experience with Java and cloud platforms is a bonus.
  • Knowledge of Azure, Snowflake, Docker containers, AKS, distributed deployments, container debugging, and AKS load balancing is preferred.
  • Experience with GitHub and the Atlassian tool suite, including Jira and Confluence.
  • Knowledge of AI fundamentals, Generative AI, LLM models, and RAG concepts.
  • Understanding of software delivery through CI/CD and experience in Agile/Scrum enterprise environments.
  • Strong troubleshooting, problem-solving, engineering, communication, collaboration, and leadership skills.
  • Azure or Agile certifications are advantageous.

Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee Assistance Program (EAP).

Tech Stack

Categories

AI ApplicationsData Engineering
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