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Job description


Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Responsibilities:

Advanced Data EngineerJob Responsibilities include:


  • Generate and prepare reports to track KPI metrics along with data analysis and insights for Engineering Program execution and monthly revenue reporting
  • Interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Design, build and maintain scalable data pipelines using DataBricks
  • Implement data models to support analytics, BI and downstream consumption
  • Automate data workflows using Databricks Job and Workflows
  • Represent data using PowerBI and advanced visualization tools.
  • Prepare ad hoc reports pulling data from multiple data sources and applications
  • Identify and automate operational tasks through process/technical automation
  • Data analysis, gap identification and drive efficiency on day-to-day reporting
  • Prepare Monthly operations reporting along with Portfolio analysis coordinating with engineering, Product Operations and Project Management Leaders.
  • Supporting the GBE to drive efficiency in business operations and to achieve their Annual operating plan targets.
  • Coordinate the Monthly Operations Report for the GBE and provide reporting of financial, cost, quality, and schedule metrics.
  • Enable leaders to make informed decisions using metrics and reports to improve the program performance and customer satisfaction.
  • Assist with Impact assessments with respect to changes in program scope, schedule, and priority.
  • Coordinates affordability analysis used for census and program planning. 
  • Effective communication and Business Presentation skills. 
  • Ability to build data models using statistical methods

Qualifications:

You must have:


  • BTech or equivalent
  • Minimum of 6 to 10 years’ experience in Data Engineering and data operations
  • Proficiency in python and Strong SQL skills with data modelling experience
  • Working experience in databricks pipeline development
  • Strong working knowledge of excel and Power BI for data representation
  • Power BI Advanced excel skills VBA scripting, Power queries, V-look up, creating slicers.
  • Direct experience in creating Chatbots and Automation.
  • Knowledge of statistics and experience using statistical packages for analyzing datasets 
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with diligence and accuracy.
  • Experience working directly with business users to build reports, dashboards and solving business questions with data.
  • Experience in creating projects and assisting resources in SAP system.
  • Proficient Microsoft Office package skills e.g. Excel, Project, Outlook, PowerPoint etc.
  • Experience working in an engineering, finance and/or program management organization is also preferred.
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