iremote.grstudy1 Team Lead – Technical Support

Team Lead – Technical Support

  • Anywhere

Duration & Type: 12 months Contract with a major pharmaceutical industry client
Location: Summit, NJ (Remote)
Description: This is a Technical Lead role to support the ‘Sales Order Inventory Allocation and Forecast Optimization’ system. The application/system is deployed in Azure with MS SQL Server as back end. It is integrated with SAP via Mulesoft API’s. The application uses Machine Learning algorithms, Python and Javascript.
Responsibilities:
• Responsible for various system functions, including: Incident, change, system and project management.
• Responsible for troubleshooting websites, applications, and user access issues.
• Document incident items and escalates as necessary.
• Responsible for facilitating new or enhanced change management requests and post-change validations, and schedule change controls.
• Coordinate issue resolution and validation of services restored.
• Perform application troubleshooting, and make recommendations for improvements and changes.
• Work with vendors as needed to resolve issues.
• Responsible for configuring installed software on all environments, perform fine tuning and application documentation.
• Assist in troubleshooting servers, transmissions, and firewall access issues.
• Assist with Disaster recovery testing.
• Responsible for application and infrastructure monitoring, coordinating with enterprise management and business unit on assigning and updating alerts.
• Coordinate report reprints and monitor job processing.
• May perform project management functions as either a project manager or team member.
• 24 X 7 on-Call responsibilities for various applications.
• Other duties as assigned.
Required:
• Education: Bachelors degree or higher
• The primary skill set of this candidate must include Python, PL/SQL, Machine Learning, MS SQL Server or Oracle and JavaScript.
• Nice to have skills: Familiarity with Azure, Mulesoft, API Integration.
• Desired domain experience: Forecast Optimization techniques, Data Science, Sales Order Management concepts, Supply Chain
For consideration, please send resume to [email protected]