Data Engineer (GIS, ArcGIS, ESRI)

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 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.g. 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 timings
• 5 Days working
• Team Outing
• Performance Bonus
• Employee reference bonus policy
• Exciting career path with an exponentially growing company
• Fun activities
• Deserving compensation