Gnapi Technologies., is an Information Technology Company established in 2016 with registered offices in India, Canada and United States. Gnapi provides end-to-end IT services and solutions to help and support clients succeed. Gnapi fosters a deep understanding of clients’ businesses and builds solid relationships to best-fit IT solutions, supported by our technology expertise. Gnapi has a strong expertise in GIS applications working closely with multiple customers across North America.
Job Description
We are looking for a Data Migration specialist/engineer, with hands on experience in Data Migration and Engineering related projects for Utilities sector, particularly in Telecom, Electricity or Gas industries.
What We Are Looking For
Candidate must have core GIS knowledge and experience in the data engineering and data migration projects. The Ideal candidate can engage with clients, support the creation and management of functional and technical documentations, provide realistic project timeline estimates, track the status and progress of the project using CPM, PERT,
Gantt Charts and other methods. The candidate should also have experience with different spatial databases, data structures and format, along with the ability to design and implement workflows.
Location: Bengaluru or Hyderabad
Requirements
Must Haves:
Technical Skills
Proficiency in core GIS concepts and software's such as ArcMap or ArcGIS pro.
Proficiency in Structured Query Language and spatial databases such as PostGIS, Oracle Spatial, duckDB etc.
Proficiency in Data Integration and Workflow Development software such as FME Form (previously FME Desktop) and FME Flow. (previously FME Server)
Proficiency with core architecture of ESRI Utilities Network and/or ESRI ArcGIS Pipeline Referencing.
Soft Skills
Superior communication and business acumen: Excellent client-facing skills with the ability to understand and articulate business value.
Project management: Exceptional organisatio
📌 Data Migration Specialist (Hyderabad)
🏢 Gnapi Technologies
📍 Hyderabad
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