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Job Type

Full Time

Job Description

🚀 Urgent Hiring: Data Engineer – Genesys International Corporation Ltd

📍 Location:

🧭 Experience:

🏢 Company:


Position: Data Engineer

Job Responsibilities:

  • Assist in designing, executing, and improving complex data integration processes.
  • Support in leading data engineering projects by converting and utilizing external data sources for database integration.
  • Work with data engineering technologies (FME, ArcGIS, Python, SQL, QGIS) to transform and integrate datasets.
  • Assess and manage risks in data integration projects.
  • Provide GIS and spatial data consultancy support for data integration initiatives.
  • Create and maintain automated data flows to enhance efficiency and throughput.
  • Implement internal process improvements to automate manual tasks.
  • Query, analyze, and transform large spatial datasets.
  • Collaborate with cross-functional teams such as Software Engineering and Product Management to resolve data-related issues.
  • Develop and maintain data validation, analytics, and monitoring tools to optimize data flows.


Qualifications & Experience:

  • Bachelor’s degree in Geoinformatics / B.E / B.Tech.
  • Master’s degree in Geoinformatics preferred.
  • 2–8 years of relevant experience.


Required Technical Skills:

  • Proficiency with data engineering tools such as

    FME

    ,

    ESRI Suite (ArcGIS)

    .
  • Familiarity with spatial data formats like

    GeoJSON

    ,

    Oracle

    ,

    FGDB

    .
  • Experience in programming and scripting languages (

    SQL

    ,

    GeoPandas

    ,

    Python

    ).


Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Ability to quickly learn and adapt to new technologies and tools.


Preferred Skills:

  • Experience in building dashboards using

    Tableau

    .
  • Knowledge of

    machine learning

    for anomaly detection.
  • Familiarity with

    Hadoop

    for data extraction and preparation.
  • Understanding of

    Big Data tools

    (Pig, Hive).
  • Experience with

    cloud platforms and APIs

    (AWS, Redshift, REST API).


Interested candidates can share their updated resumes at:

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