- Organization: wovvtech
- Location: Chennai (Tamil Nadu), Mumbai (Maharashtra), Vadodara (Gujarat)
WovVTech is a global leader in driving digital transformation and operational excellence across industries and verticals. Our SaaS productivity solutions have made a significant impact on businesses in over 50 countries and 3000 locations, delivering greater operational efficiency, improved ROI, and enhanced customer experiences.
With our comprehensive product suite, we provide the essential tools and capabilities for businesses to thrive in today’s competitive landscape. We combine technology, strategy, design, and intelligence to address complex business challenges.
| Table of Contents |
| 1. Job Details |
| 2. Eligibility |
| 3. General Instructions |
| 4. Key Roles and Responsibilities |
Job Details
| Job Source | Online |
| Organisation | wovvtech |
| Job Location | Chennai (Tamil Nadu), Mumbai (Maharashtra), Vadodara (Gujarat) |
| Similar Jobs | https://www.geonexa.in/category/posts/jobs/ |
Eligibility
- ME/ M.Tech./ MS (Engg/ Sciences) Any Graduate
BASIC GIS INTERVIEW QUESTIONS: https://www.geonexa.in/gis-interview-questions/
Key Roles and Responsibilities:
- Ideally, a Data Analyst, Data Scientist, or Data Engineer with specific experience in processing geospatial data and working with GIS, ArcGIS, ESRI.
- 3-month project duration initially, extendable.
- Good understanding and expertise in handling Geospatial data from GIS systems.
- Ability to analyze, transform, and visualize geospatial data.
- Experience in Python & System Databases (MS SQL), Talend.
- Design, develop, and maintain data pipelines for collecting, transforming, and loading data.
- Build and maintain data warehousing and data lake solutions.
- Develop and deploy data models to support business requirements.
- Write efficient and scalable code in Python, Scala, or Java.
- Lead data solution design with quality, automation, and performance in mind.
- Own data pipelines feeding into the Data Platform, ensuring reliability and scalability.
- Ensure data availability for business and analytics consumption.
- Work closely with Data Product Manager to align requirements and data sources.
- Communicate complex solutions clearly to experts and non-experts.
- Interact with stakeholders and clients to understand data requirements and provide solutions.
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