Elasticsearch Jobs

No worries, that's way more workable. Here's the full post trimmed to fit under 10,000 characters: Nationwide Property Auction Web Scraping & Intelligent Alert System (Ongoing) About Us We're a commercial real estate investment firm that acquires distressed properties nationwide. We have the capital to close on any deal in the U.S. — our bottleneck is finding opportunities before competitors. We're building an automated system that monitors every property auction source in the country, filters against our criteria, and alerts us only on qualified deals. This is not a data dump project. We don't want spreadsheets with thousands of rows. We want a smart radar system that scans everything, filters ruthlessly, and only pings us when something matches. Long-t...

I have eight GDB-format geodatabases—about 10 GB each and roughly 140 layers apiece—that need to be merged into one consolidated repository within five days. During the transfer I expect strict validation, with data accuracy as the non-negotiable priority. Here is what I need from you: • Plan and carry out the migration using whatever stack you believe will deliver fastest and safest results (ArcGIS Pro / ArcPy, FME, GDAL/OGR, PostGIS tools, Python automation, etc.). • Run comprehensive checks on geometry, attribute completeness, and spatial reference so that every feature reaches the target store intact and correct. • Produce a brief report summarising the validation steps taken and any fixes applied, plus reusable scripts or workspace files so I can rerun...

We are looking for an experienced developer to build a robust web scraping solution capable of extracting structured data from a login-protected medical/drug repository website. The platform contains a large database of drug information (potentially hundreds of thousands to over a million pages). The scraper should be able to navigate through the website after login, systematically extract relevant drug data, and store it in a structured format. Scope of Work: Develop a scraper that can log into a protected website. Navigate through the drug repository pages. Extract structured information from each drug page. Handle pagination and large-scale crawling. Implement mechanisms to prevent crashes or interruptions during long scraping runs. Store extracted data in a structured format such as ...

I have an MVP running on Java 17, Spring Boot, REST, and MySQL, and now I need it turned into a production-grade multi-vendor marketplace. The platform must expose dedicated Admin, Seller, and User dashboards, scale confidently on AWS, and remain clean and testable. Scope • Upgrade the existing product, cart, order, and payment modules so multiple sellers can manage their own catalogues independently. • Add advanced search functionality—keywords, categories, price ranges, and vendor filters—backed by Elasticsearch (or a comparable search engine) and integrated with Spring Data. • Introduce user reviews and ratings with a moderation workflow surfaced in the Admin panel. • Deliver real-time notifications for order status updates, stock alerts, and sel...

My MongoDB Atlas cluster connects instantly through Compass, yet the same connection string refuses to cooperate inside my React project. The URI is tucked away in an environment variable, but at runtime I receive a generic “connection string” error and no data appears. I need someone to: • review how I’m importing the .env values and verify the string syntax • confirm the driver / library I’m using from the React side (or its Node-based API layer) is configured correctly for an Atlas URI • diagnose any authentication, whitelisting, or network nuances that Compass might mask • deliver a working example and a brief explanation so I can replicate the fix across environments Once the project builds and fetches data from Atlas without throwi...

Senior Python Developer – Containerized Geospatial Processing Library (Azure) ​Project Overview: We are seeking an experienced Senior Python Developer with deep expertise in geospatial data handling (GIS) and Docker containerization. The objective of this project is to build a robust, standalone Python library and execution environment that performs standardized geoprocessing tasks on vector and raster datasets. ​The final deliverable must be a highly secure, containerized microservice capable of reading from and writing to Azure Blob Storage, with strict input validation. ​Core Tech Stack: ​Language: Python 3.11+ ​Geospatial Libraries: GeoPandas, Rasterio, Shapely, PyProj, Fiona ​Validation: Pydantic ​Cloud: Azure SDK (Blob Storage, Key Vault, Identity) ​Infrastructure: Docker (Alpi...