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.(ref : hirist.tech)