Web App Developer at Cushman & Wakefield
India
<p style="text-align:left"><span style="font-size:18px"><b>Job Title</b></span></p>Web App Developer<p style="text-align:left"><b><span style="font-size:18px">Job Description Summary</span></b></p>Our Enterprise Data team is building a Databricks-native data platform spanning master data management, AI-powered data quality and lineage, and a suite of internal tools used by data stewards, analytics engineers, and business stakeholders across multiple global regions. We are hiring a mid-level Web Application Developer to design, build, and operate the front-end and API layer of these tools — with Databricks Apps as the primary deployment target and Unity Catalog as the data authority.<br><br><br>You will work closely with data engineers, platform architects, and business stakeholders to turn complex data workflows — stewardship queues, lineage dashboards, quality monitoring — into polished, production-grade web applications that feel enterprise-ready without sacrificing developer velocity.<p style="text-align:left"><span style="font-size:18px"><b>Job Description</b></span></p><p><b>Key Responsibilities</b></p><p></p><p>Application Development</p><p>• Design and build React + FastAPI web applications deployed as Databricks Apps, authenticated via the Databricks SDK</p><p>• Develop data stewardship and workflow UIs — review queues, confidence visualisations, approval/rejection flows</p><p>• Build interactive dashboards surfacing data lineage, quality scores, and pipeline health metrics from Unity Catalog</p><p>• Implement REST APIs in FastAPI, integrating with Databricks SQL Connector, Delta tables, and AI Model Serving endpoints</p><p></p><p>Platform & Integration</p><p>• Integrate front-end applications with Unity Catalog through the Databricks SDK and REST APIs — table discovery, access control, lineage graphs</p><p>• Consume AI-generated outputs (narrative summaries, quality assessments) from model serving endpoints and surface them in the UI</p><p>• Author and maintain Databricks Asset Bundles (DABs) configurations for CI/CD deployment across DEV, INT, UAT, and PROD environments</p><p>• Collaborate with platform engineers to ensure apps are stateless, containerised, and scalable within the Databricks workspace security perimeter</p><p></p><p>Quality & Collaboration</p><p>• Write unit and integration tests; maintain >80% coverage on critical paths</p><p>• Participate in design reviews, PR reviews, and architecture discussions with globally distributed team members</p><p>• Produce clear technical documentation — API contracts, component libraries, deployment runbooks — suitable for handover to platform operations</p><p>• Contribute to and uphold front-end coding standards, TypeScript typing discipline, and accessibility guidelines</p><p></p><p><b>Required Skills & Experience</b></p><p></p><p>Core Web Development</p><p>• 3–6 years of professional experience building web applications in a TypeScript / React environment</p><p>• Proficiency with React hooks, component composition, state management (Redux Toolkit or Zustand), and modern build tooling (Vite / ESBuild)</p><p>• Python back-end experience with FastAPI or Flask — REST API design, async handlers, dependency injection</p><p>• Solid understanding of RESTful API design and OpenAPI / Swagger documentation</p><p></p><p>Databricks & Data Platform</p><p>• Hands-on experience building or operating Databricks Apps — SDK authentication, workspace resource management, app lifecycle</p><p>• Working knowledge of Unity Catalog — schemas, tables, volumes, grants, and lineage APIs</p><p>• Familiarity with Delta Lake table formats, Spark SQL, and the DBSQL Connector for Python</p><p>• Exposure to Databricks Asset Bundles (DABs) for CI/CD and multi-environment deployment patterns</p><p></p><p>Enterprise Tooling & Practices</p><p>• Experience working within enterprise DevOps pipelines — Azure DevOps or GitHub Actions preferred</p><p>• Comfortable with containerisation (Docker) and cloud-hosted deployment (Azure preferred)</p><p>• Proficiency with Git, pull-request workflows, and semantic versioning</p><p>• Ability to read and write basic SQL; comfort querying Databricks SQL warehouses from application code</p><p>Desirable Skills</p><p></p><p>• Experience integrating with LLM / Generative AI APIs — Anthropic Claude, OpenAI, or cloud-hosted models via Databricks Model Serving</p><p>• Familiarity with data quality tooling — Great Expectations, dbt tests, or custom DQ frameworks on Delta</p><p>• Experience building MDM, data stewardship, or data governance UIs</p><p>• Azure cloud certifications (AZ-900 / AZ-204) or Databricks Associate / Professional credentials</p><p>• Exposure to graph visualisation libraries (D3.js, Cytoscape.js) for lineage and dependency mapping</p><p>• Familiarity with geospatial libraries or mapping toolkits (Deck.gl, Mapbox, H3)</p><p>• Domain knowledge in any data-intensive industry — finance, real estate, logistics, retail, or similar</p><p></p><p><b>What We Offer</b></p><p></p><p>• Meaningful ownership of a greenfield platform used by data professionals across a large global enterprise</p><p>• Visibility to senior data and technology leadership — your work informs strategic decisions</p><p>• Opportunity to build at the intersection of enterprise data management and applied AI / agentic workflows</p><p>• Competitive compensation benchmarked to the India technology talent market; performance-linked variable pay</p><p>• Flexible remote-first working within India, with a collaborative team spanning multiple global regions</p><p>• Learning and certification budget for Databricks, Azure, and related platforms</p><p style="text-align:inherit"></p><br><p style="text-align:inherit"></p><br><p style="text-align:inherit"></p><br><p style="text-align:inherit"></p><p> </p><p> </p><p> </p><p style="text-align:inherit"></p><br><p style="text-align:inherit"></p><p style="text-align:inherit"></p><br><p style="text-align:inherit"></p><p style="text-align:inherit"></p><br><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p></p><p></p>INCO: “Cushman & Wakefield”
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