Data Operations Engineer (Spatial & Textual Data Operations)

Requirements

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


• Edit and refine geometries to maintain spatial accuracy and topological integrity.
  


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


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

• Review and correct textual attributes related to land charges, including addresses, descriptions, and identifiers.
  


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


• Assign land charges to the appropriate charge types based on defined business rules and classification standards.
  


• Categorize and standardize textual attributes to ensure consistency across datasets.
  

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


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


• Maintain audit trails and document all updates made during data correction activities.
  

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


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


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

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


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


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


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

• Basic understanding of spatial and textual data concepts.
  


• Familiarity with GIS digitization and geometry editing.
  


• Interest in learning land charge data, cadastral datasets, or similar regulatory/property data (preferred).
  


• Basic knowledge of data categorization, classification, and mapping rules.
  


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

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


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


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

• Strong attention to detail and commitment to data accuracy.
  


• Ability to understand structured datasets and business rules.
  


• Good analytical and problem\-solving skills.
  


• Ability to follow defined processes and meet deadlines.
  


• Clear written and verbal communication skills.
  

• 0–2 years of experience in data operations, GIS data handling, or spatial/textual data management.
  


• Fresh graduates with strong GIS and data fundamentals are encouraged to apply.
  

• Bachelor’s degree in Geography, GIS, Geomatics, Computer Science, Information Systems, or a related discipline.
  

• Accuracy and completeness of spatial and textual data corrections.
  


• Compliance with defined data standards and classification rules.
  


• Turnaround time for assigned data correction tasks.
  


• Reduction in rework and recurring data quality issues.
  

Benefits