Application Support Analyst/Engineer

Key Responsibilities

• Application Development
• Develop and maintain custom web, desktop, or mobile applications for manufacturing operations (e.g., MES, SPC, Equipment Tracking, Quality Management).
• Integrate applications with factory systems such as ERP, MES, SCADA, PLCs, and data historians.
• Design APIs and interfaces for seamless data exchange between IT and OT systems.
• Support the automation of manufacturing workflows, reporting, and analytics dashboards.
• Generative AI for code development
• Database Development
• Design, build, and optimize relational databases (Oracle, PostgreSQL, SQL Server, etc.).
• Develop complex SQL queries, stored procedures, triggers, and ETL scripts.
• Manage database performance tuning, backup/recovery, and data integrity.
• Collaborate with data engineers to structure data for analytics and reporting.
• Operations & Support
• Work closely with manufacturing engineers, process owners, and IT infrastructure teams to gather requirements and deliver scalable solutions.
• Provide technical support for deployed applications and databases, including troubleshooting and enhancements.
• Ensure compliance with cybersecurity, audit, and change management standards.
• Continuous Improvement
• Contribute to digital transformation projects such as predictive maintenance, AI/ML model integration, Agentic AI and BigData.
• Identify automation opportunities and propose system improvements.
• Document system architecture, workflows, and procedures.

Must Have:

• Bachelor's degree in computer science, IT, or related field
• 3-5 years of relevant experience in application support
• Strong understanding of application architecture and databases
• Proficiency in:
• Languages: Java, Python, C#, Node.js
• Web Frameworks: .NET, Flask, JavaScript
• Databases: Oracle, PostgreSQL, ETL, Stored Procedures, SQL Server
• Integration: REST APIs, Kafka, MQTT
• Excellent problem-solving and communication skills
• Ability to communicate effectively in English (verbal and written)
• Experience with data modeling, performance tuning, and version control (Git).
• Familiarity with cloud and on-prem hybrid environments (GCP,Azure, AWS, etc.).

Good to Have

• Experience with Rest API, Web backend, SQL and No-SQL databases
• Experience with big data platforms and real-time data processing
• Familiarity with DevOps tools and CI/CD pipelines
• Experience working with cross-functional teams (e.g., manufacturing, engineering)
• Ability to create user guides and training materials
• Understanding of factory security, safety, and quality standards