Data Engineer ArcGIS / ESRI

We are seeking a highly skilled Data Analyst, Data Scientist, or Data Engineer with specialized experience in processing geospatial data. The initial contract duration is 3 months, with the possibility of extension based on project requirements and performance. The ideal candidate will have a solid understanding and expertise in working with geospatial data from GIS systems, particularly ArcGIS and ESRI, and will be adept at analyzing, transforming, and visualizing such data.

Key Responsibilities:

• Data Pipeline Management: Design, develop, and maintain robust data pipelines for the collection, transformation, and loading of data into various data stores.

• Data Warehousing: Build and maintain data warehousing and data lake solutions to support various business needs.

• Data Modeling: Develop and deploy efficient data models that align with business requirements.

• Coding: Write efficient, scalable code in languages such as Python, Scala, or Java.

• Data Solutions Design: Lead the design of high-quality, automated, and performant data solutions.

• Pipeline Ownership: Ensure the reliability and scalability of data pipelines feeding into the Data Platform.

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

• Stakeholder Collaboration: Work closely with the Data Product Manager and interact with stakeholders to support alignment of requirements and data sources from various systems and endpoints.

• Communication: Clearly communicate complex solutions to both technical and non-technical audiences. Qualifications: • Geospatial Expertise: Experience with geospatial data, GIS systems, ArcGIS, and ESRI. • Large-Scale Solutions: Proven track record in delivering large-scale data and analytical solutions in a cloud environment.

• End-to-End Implementation: 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.

• Data Warehousing Development: Expertise in developing data warehouses.

• Modern Data Architecture: In-depth understanding of modern data architectures such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh.

• Data Architecture Knowledge: Strong knowledge of data architecture and data modeling practices, with a focus on cost-effective data pipeline management.

• CI/CD Familiarity: Familiarity with CI/CD-driven data pipeline and infrastructure (e.g., BitBucket).

• Agile Methodologies: Experience with Agile delivery approaches, using Scrum and Kanban methodologies.

• QA and Testing Support: Experience supporting QA and user acceptance testing processes.

• Self-Driven Improvement: A self-driven professional who constantly seeks opportunities to improve data processes. Additional Skills:

• Experience with Python & System Databases (e.g., MS SQL), Talend. • Ability to analyze, transform, and visualize geospatial data effectively.

• Strong problem-solving skills and the ability to handle complex data requirements. We look forward to finding a passionate and skilled professional to join our team and contribute to the success of our data projects. If you meet the qualifications and are excited about the opportunity to work with cutting-edge geospatial data technologies, we encourage you to apply.

Place of work