Spatial and textual land -charge data

Requirements

• 2–4 years of experience in data operations, GIS data handling, or spatial/textual data management.
  


• Fresh graduates with strong fundamentals in GIS and data concepts may also be considered.
  

• Accuracy and completeness of spatial and textual data corrections.
  


• Compliance with defined data standards, classifications, and business rules.
  


• Turnaround time for assigned data correction and validation tasks.
  


• Reduction in rework and recurring data quality issues.
  

• Digitize spatial features (polygons, lines, and points) using source maps, imagery, and reference datasets.
  


• Correct and refine geometries to ensure spatial accuracy and topological integrity.
  


• Identify and address missing or incorrect spatial representations of land charges.
  


• Validate spatial data against authoritative sources such as master maps and cadastral layers.
  

• Review, validate, and correct textual attributes associated with land charges, including addresses, descriptions, and identifiers.
  


• Identify missing, incomplete, or inaccurate charge records and flag them for remediation.
  


• Map land charges to the appropriate charge types in accordance with defined business rules and classification standards.
  


• Perform categorization and standardization of textual attributes to ensure dataset consistency.
  

• Perform data quality checks to identify duplicates, missing attributes, incorrect mappings, and inconsistencies.
  


• Validate linkages between spatial and textual datasets to ensure accurate relationships.
  


• Maintain audit trails and document all changes performed during data correction activities.
  


• Data Import, Export & Handling
  


• Import and export spatial and textual datasets in required formats (e.g., CSV, Shapefile, GeoJSON, GDB).
  


• Ensure accurate data transformation, formatting, and validation during import/export processes.
  


• Support bulk data uploads, batch corrections, and dataset comparisons.
  

• Adhere to defined operational workflows and SLAs for data correction and validation.
  


• Coordinate with reviewers, supervisors, and downstream users to resolve data\-related issues.
  


• Maintain clear documentation for processes, decisions, and exception handling.
  


• Support review cycles and rework based on quality and audit feedback.
  

• Strong understanding of spatial and textual data concepts.
  


• Hands\-on experience with GIS digitization and geometry editing.
  


• Knowledge of land charge data, cadastral datasets, or regulatory/property data (preferred).
  


• Experience with data classification, categorization, and mapping rules.
  


• Familiarity with data import/export workflows and common data formats.
  

• GIS tools such as ArcGIS, QGIS, or equivalent platforms.
  


• Spreadsheet tools (e.g., Microsoft Excel) and basic data handling utilities.
  


• Exposure to spatial databases or geospatial data services is an added advantage.
  

• High attention to detail with a strong focus on data accuracy.
  


• Ability to interpret complex datasets and business rules.
  


• Strong analytical and problem\-solving capabilities.
  


• Ability to follow structured processes and meet deadlines.
  


• Clear communication and documentation skills.
  

Benefits