Genesys - Data Engineer - GIS

1 week ago

Mumbai, India Genesys Full time

Description :- Urgent Hiring : Data Engineer Genesys International Corporation Ltd- Location : SEEPZ, Andheri (E), Mumbai (Work from Office)- Experience : 2 to 8 Years- Company : Genesys International Corporation Ltd- Position : Data EngineerJob 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 :- Bachelors degree in Geoinformatics / B.E / B.Tech.- Masters 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) (ref:hirist.tech)

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