Advanced Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
0-1 years
India
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Job Description

RESPONSIBILITIES

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

Qualifications

  • 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

Skills

Artificial IntelligenceData AnalyticsData ValidationCloud InfrastructureData AnalysisData GovernanceData WarehousingData Warehousing ConceptsSnowflakeAi/mlAnalyticsLarge Language ModelAiMlSqlData Engineer

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About Company

Honeywell is an American multinational conglomerate that produces a variety of commercial and consumer products, engineering services, and aerospace systems. The company operates in four business segments: Aerospace, Building Technologies, Performance Materials and Technologies, and Safety and Productivity Solutions.

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