WovV Technologies - Data Engineer - GIS Systems

Job Summary :

WovV Technologies, a global business productivity SaaS company and recognized amongst Top 20 Global SaaS Startups is looking for Data Engineer (GIS, ArcGIS, ESRI) professionals at all levels.

Permanent WFH/Remote opportunity.

Skills : GIS, ArcGIS, ESRI, Python, MS SQL, Talend, Cloud.

Job Title : Data Engineer (GIS, ArcGIS, ESRI).

Location India : Remote / WFH / Chennai / Mumbai / Vadodara.

Min Experience : 3+ Years.

Key Roles And Responsibilities :

- Ideally, a Data Analyst, Data Scientist or Data Engineer who has specific experience in processing geospatial data, experience with GIS, ArcGIS, ESRI.

- 3-month project duration initially, this could be extended.

- Good understanding and expertise in working with Geospatial data from GIS systems.

- Ability to analyze, transform and visualize geospatial data.

- Experience in Python & System Databases i,e.(MS SQL), Talend.

- Design, develop, and maintain data pipelines for collecting, transforming, and loading data into various data stores.

- Build and maintain data warehousing and data lake solutions.

- Develop and deploy data models that support various business requirements.

- Write efficient and scalable code in languages such as Python, Scala, or Java.

- Lead the design of data solutions with quality, automation, and performance in mind.

- Own the data pipelines feeding into the Data Platform ensuring they are reliable and scalable.

- Ensure data is available in a fit-for-purpose and timely manner for business and analytics consumption.

- Work closely with the Data Product Manager to support alignment of requirements and sources of data from line of business systems and other endpoints.

- Communicate complex solutions in a clear and understandable way to both experts and non-experts.

- Interact with stakeholders and clients to understand their data requirements and provide solutions.

Requirements :

- Experience with Geospatial data, GIS systems, ArcGIS, ESRI.

- Proven track record of delivering large-scale data and analytical solutions in a cloud environment.

- Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance.

- Expertise in developing Data Warehouses.

- In-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh.

- Strong knowledge of data architecture and data modeling practices, Cost-effective management of data pipelines.

- Familiarity with CI/CD driven data pipeline and infrastructure (e. Bit Bucket).

- Agile delivery approach using Scrum and Kanban methodologies.

- Supporting QA and user acceptance testing processes.

- Self-driven and constantly seeking opportunities to improve data processes.

Perks And Benefits :

- Work from Home / Remote Working.

- Flexibility in timing.

- 5 Days working.

- Team Outing.

- Exciting career path with an exponentially growing company.

- Fun activities.

- Abroad opportunities.

- Deserving compensation.