Sr./ pr. applications engineer Jobs

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Web App Developer

Cushman & Wakefield -
Mumbai, Maharashtra

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Law
React
D3.js
Web development
Software deployment
DevOps
Spark
Git
Master's degree
SQL
Docker
Data management
JavaScript
Continuous integration
SDKs
REST
Redux
Unity
GitHub
APIs
Flask
AI
TypeScript
Python
Master data management

Full job description

Job Title

Web App Developer

Job Description Summary

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.

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.

Job Description

Key Responsibilities

Application Development

Design and build React + FastAPI web applications deployed as Databricks Apps, authenticated via the Databricks SDK
Develop data stewardship and workflow UIs — review queues, confidence visualisations, approval/rejection flows
Build interactive dashboards surfacing data lineage, quality scores, and pipeline health metrics from Unity Catalog
Implement REST APIs in FastAPI, integrating with Databricks SQL Connector, Delta tables, and AI Model Serving endpoints

Platform & Integration

Integrate front-end applications with Unity Catalog through the Databricks SDK and REST APIs — table discovery, access control, lineage graphs
Consume AI-generated outputs (narrative summaries, quality assessments) from model serving endpoints and surface them in the UI
Author and maintain Databricks Asset Bundles (DABs) configurations for CI/CD deployment across DEV, INT, UAT, and PROD environments
Collaborate with platform engineers to ensure apps are stateless, containerised, and scalable within the Databricks workspace security perimeter

Quality & Collaboration

Write unit and integration tests; maintain >80% coverage on critical paths
Participate in design reviews, PR reviews, and architecture discussions with globally distributed team members
Produce clear technical documentation — API contracts, component libraries, deployment runbooks — suitable for handover to platform operations
Contribute to and uphold front-end coding standards, TypeScript typing discipline, and accessibility guidelines

Required Skills & Experience

Core Web Development

3–6 years of professional experience building web applications in a TypeScript / React environment
Proficiency with React hooks, component composition, state management (Redux Toolkit or Zustand), and modern build tooling (Vite / ESBuild)
Python back-end experience with FastAPI or Flask — REST API design, async handlers, dependency injection
Solid understanding of RESTful API design and OpenAPI / Swagger documentation

Databricks & Data Platform

Hands-on experience building or operating Databricks Apps — SDK authentication, workspace resource management, app lifecycle
Working knowledge of Unity Catalog — schemas, tables, volumes, grants, and lineage APIs
Familiarity with Delta Lake table formats, Spark SQL, and the DBSQL Connector for Python
Exposure to Databricks Asset Bundles (DABs) for CI/CD and multi-environment deployment patterns

Enterprise Tooling & Practices

Experience working within enterprise DevOps pipelines — Azure DevOps or GitHub Actions preferred
Comfortable with containerisation (Docker) and cloud-hosted deployment (Azure preferred)
Proficiency with Git, pull-request workflows, and semantic versioning
Ability to read and write basic SQL; comfort querying Databricks SQL warehouses from application code

Desirable Skills

Experience integrating with LLM / Generative AI APIs — Anthropic Claude, OpenAI, or cloud-hosted models via Databricks Model Serving
Familiarity with data quality tooling — Great Expectations, dbt tests, or custom DQ frameworks on Delta
Experience building MDM, data stewardship, or data governance UIs
Azure cloud certifications (AZ-900 / AZ-204) or Databricks Associate / Professional credentials
Exposure to graph visualisation libraries (D3.js, Cytoscape.js) for lineage and dependency mapping
Familiarity with geospatial libraries or mapping toolkits (Deck.gl, Mapbox, H3)
Domain knowledge in any data-intensive industry — finance, real estate, logistics, retail, or similar

What We Offer

Meaningful ownership of a greenfield platform used by data professionals across a large global enterprise
Visibility to senior data and technology leadership — your work informs strategic decisions
Opportunity to build at the intersection of enterprise data management and applied AI / agentic workflows
Competitive compensation benchmarked to the India technology talent market; performance-linked variable pay
Flexible remote-first working within India, with a collaborative team spanning multiple global regions
Learning and certification budget for Databricks, Azure, and related platforms

INCO: “Cushman & Wakefield”

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