Advanced Data Engineer

Reposted 14 Days Ago
Be an Early Applicant
2 Locations
In-Office
6-10 Annually
Senior level
Aerospace • Security • Energy • Industrial
The Role
The Advanced Data Engineer is responsible for building and maintaining data pipelines, generating reports, and automating workflows to support analytics and operational efficiency in engineering and finance contexts.
Summary Generated by Built In
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.
About UsHoneywell 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.

Skills Required

  • 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
  • Direct experience in creating Chatbots and Automation
  • Knowledge of statistics and experience using statistical packages for analyzing datasets

Honeywell Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.

  • Retirement Support Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
  • Leave & Time Off Breadth Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
  • Parental & Family Support Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.

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The Company
HQ: Charlotte, NC
110,269 Employees
Year Founded: 1906

What We Do

Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.

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