Lead Small world Developer

Desired skills and competencies

• Lead end-to-end Smallworld GIS application development and customization projects.
• Design and implement solutions using

  Magik programming language

  ,

  GE Smallworld Core

  , and related technologies. Experience working in a cloud environment

  AWS and GCP

• Ability to present outputs using contemporary methods and communicate effectively with a range of audiences to transfer the knowledge gained and present ideas and solutions
• Experience using

  Python

  or understanding of object-oriented programming concepts
• Experience using

  FME

  Server for end-to-end automation of geospatial data pipelines and processes
• Experience with

  ESRI

  platform in building and delivering geospatial data solutions

What is the role?

• Collaborate with key stakeholders, product owners and managers and across all business functions to define, understand, prepare and assist as an SME with geospatial data requirements, solution feasibility and development.
• Plan and implement geospatial data engineering/development efforts following the project scope, including budgeting, scheduling, risk analysis and providing solutions.
• Maintain geospatial databases and processes with a focus on automation with FME and other relevant technologies.
• Create geospatial data from scratch or by adapting, transforming and enriching existing datasets.
• Provide maintenance and support for the geospatial datasets to products, solutions and applications.
• Ability to work autonomously while managing multiple tasks simultaneously
• Provide coaching, mentoring and support to other staff, to help increase their geospatial knowledge and skills.
• Review and provide input into the technical aspects of customer contracts.

Smallworld Database Server Management (Smallworld DBA)

• Monitoring the daily/weekly/monthly data replications to Smallworld clients (tied to critical SLAs)
• Monitoring the Smallworld Job server for daily/weekly quality checks (key processes to ensure data quality)
• Monitoring the daily insync replications to Oracle (critical process to share NZMM data with downstream/client systems)
• Monitoring the Smallworld Database Server and ensure adequate disk space availability
• UVA management for replicas (key to maintain database integrity)
• Ensure the Smallworld database files maintained with space required (superfile management and alternative/checkpoint management)
• Run year-end database management (remove unwanted check points/alternatives, compress databases for application/database performances)

Managing Data Pipeline

• Monitor NZTA data import from different NTZA local council and fix any failed import
• Monitor weekly LINZ AIMs data import process
• Monitor daily Building Consent import process
• Monitor weekly CRS data import process
• Run yearly meshblock updates from Statistics NZ, NZ Census & NZ Police
• Run ad-hoc Suburb updates from LINZ
• Run monthly Smallworld CRS extract for clients (Vector, Chorus, One NZ, Counties, WE, TE

Smallworld Developer, Technical BA & Consultancy

• Rebuild and update images when there is a change in the code base for specific process
• Implement productivity improvement tools for NZMM team
• Design and develop custom business workflows for clients and internal teams
• Support client Smallworld upgrades (Chorus, Vector, WE)
• Technical stakeholder management

Preferred candidate profile

• Bachelors degree or equivalent in GIS, Computer Science, Engineering or Scientific Discipline
• A minimum of 4 years of relevant experience in geospatial data engineering
• Experience in designing, building and testing geospatial data solutions that are complex or large-scale working as a GIS Developer/Data Engineer or in a related technical role
• Advanced knowledge and experience with developing data pipelines using PostGIS, python, FME and other related geospatial tools and platforms
• Proficiency in spatial data modelling, data integration and relational databases and spatial data architecture
• Experience with geospatial analytics, problem-solving and experience working with Cadastral data, land and property information and a comprehensive understanding of the GIS industry
• Experience with spatial data management, including cloud and hybrid environments
• Experience working with FME, ESRI and other geospatial technologies for geospatial data processing, management and visualization