Advanced Data Engineer
No longer listedHoneywell Aerospace
IndiaFull-timePosted Jul 15, 2026
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Application Management
- Own and manage homegrown BI & Analytics web applications built on .NET, React, Angular, and PostgreSQL
- Oversee the full application lifecycle including enhancements, maintenance, and operational stability
- Coordinate with development teams to translate business requirements into actionable features
- Manage REST API integrations between internal applications and enterprise systems
Cloud Infrastructure & DevOps (Azure)
- Manage Azure-hosted web applications including App Services, API Gateways, and Firewall configurations
- Handle cloud provisioning, access controls, and environment management on Microsoft Azure
- Manage identity and access configurations using Microsoft Entra ID (formerly Azure AD), including app registrations, role assignments, and SSO setups
BI & Analytics
- Manage and support BI reporting tools including Tableau and Power BI
- Write and review SQL queries for data validation, reporting, and analysis
- Collaborate with data teams on platforms such as Snowflake and Databricks
Enterprise Systems & ITSM
- Manage and maintain CMDB (Configuration Management Database) records to ensure accurate asset and service configuration data
- Handle Oracle Fusion-related operations and coordination across relevant business processes
- Manage end-to-end operational ticket lifecycle and incident resolution via ServiceNow
Stakeholder & Product Management
- Act as the primary liaison between business stakeholders and development teams for requirement gathering and prioritization
- Manage end-to-end feature delivery from requirement discussion through to deployment
- Drive discussions with cross-functional teams to align on scope, timelines, and delivery
AI & Emerging Technologies
- Good understanding of Artificial Intelligence concepts and Large Language Model (LLM) capabilities
- Exposure to evaluating and integrating AI/LLM-based solutions into enterprise application workflows
- Ability to identify opportunities where AI tooling can enhance existing products and processes
- Good understanding of web application architecture — .NET, React, Angular, PostgreSQL (hands-on development not required)
- Hands-on experience with Microsoft Azure — App Services, API Gateways, cloud networking, and firewall rules
- Understanding of REST API design and integration patterns
- Experience with Microsoft Entra ID — app registrations, access management, and SSO
- Proficiency with BI tools — Tableau and/or Power BI
- Working knowledge of SQL for querying and data analysis
- Familiarity with cloud data platforms — Snowflake and/or Databricks
- Experience with ITSM tools, preferably ServiceNow
- Hands-on exposure to CMDB management and Oracle Fusion operations
- Awareness of AI/ML trends and practical exposure to LLM-based tools and platforms
- Strong stakeholder management and communication skills
- Ability to manage multiple concurrent workstreams across technical and business teams
- Experience in Azure Cloud Deployment
- Exposure to data governance and data warehousing concepts
- Prior experience in a product ownership or data analytics role
- Good understanding with LLM platforms such as Azure OpenAI, Copilot or similar