Data Engineer

Responsibilities-

• Good understanding of the budgeting & forecasting process.
• Quick learner and able to understand implemented system functionality.
• Perform impact analysis and resolve production defects.
• Manage daily operation chores/nightly data refresh in the IBM PA project and share observations if any.
• Fix data load failure, errors and warnings.
• Variance analysis/ data validation on monthly or quarterly close.
• Ensure data archival, restore and backup procedure.
• Upgrade and apply patches for IBM PA application (on premise IBM PA on GCC Cloud).
• Experience in cutover activities and well verse in executing the steps.
• Experience in deployment activities post fixes and enhancement.
• Work closely with infrastructure team for any environment issues, security, and concerns.

TechnicalSkills -

Fundamentalconcepts:

• Cube, Dimension, element and hierarchy.
• Rules and feeders
• TI Process
• Data Type (numeric, string, consolidation)
• PAW, PAX, Pafe, TM1 web

PAW:

• Creating and managing cubes, dimensions, hierarchies, and subsets directly from PAW
• Defining relationships, attributes, and aliases
• Writing and testing rules within PAW’s rule editor
• Building and executing TI (TurboIntegrator) processes
• Managing feeders efficiently

UI/UX:

• Designing intuitive PAW books and sheets
• Using widgets, tabs, selectors, and quick reports
• Best practices for layout, formatting, and usability

Security:

• Object security (cube, dimension, element, process, chore)
• Cell-level security rules and application security

Admin:

• Backup and recovery of PAW books and assets
• Deployment and upgrade

Others:

• Python Scripting
• Advance TI & Rule debugging
• Conditional Rule
• Feeder optimization
• Debugging feeders

Minimum 4years of relevant experience.