Tata Consultancy Services
Oracle PL/SQL
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
Gandhinagar, Gujarat, India
Work mode:
Onsite
Published on:
12 October 2026
What they need
Full stack developer Key Responsibilities
- Work closely with multiple internal teams to understand, troubleshoot, and resolve business and system issues.
- Deliver assigned tasks on time with high quality and minimal defects.
- Ensure adherence to SDLC processes, coding standards, and best practices throughout the development lifecycle.
- Manage multiple priorities effectively in a fast-paced environment.
- Identify gaps in existing business processes and drive continuous improvements.
- Lead automation initiatives to reduce manual effort and improve operational efficiency.
- Support Manufacturing, Supply Chain, and Operations applications by understanding business processes and translating requirements into technical solutions.
- Collaborate with cross-functional teams to implement data integration, process optimization, and system enhancements.
- Explore and leverage AI, Machine Learning, and Generative AI technologies to improve operational processes and user productivity.
Primary Technology Skills
Core Database & Application Development
- Hands-on experience with Oracle/MSSQL databases, SQL, and PL/SQL development.
- Experience with database design, query optimization, and troubleshooting complex data issues.
- Knowledge of ETL, data integration, and enterprise application support.
Programming & Modern Development
- Strong programming skills in Python and .NET (C#).
- Experience developing APIs, microservices, and enterprise integrations.
- Familiarity with source control systems (Git, Azure DevOps, GitHub).
Nice-to-Have Skills
- Experience supporting Manufacturing, Supply Chain, ERP, MES, Planning, or Factory Automation applications.
- Manufacturing IT / Supply Chain IT domain experience.
- Experience with Azure, AI Foundry, OpenAI, MCP Servers, REST APIs.
- Exposure to Power Platform, Power Automate, and enterprise automation tools.
- Knowledge of Machine Learning, Data Analytics, and Dashboarding solutions.
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