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Honeywell
Honeywell

The future is what we make it.

Advanced Data Engineer

RoleData Engineering
LevelMid Level
LocationBengaluru, Karnataka, India
WorkOn-site
TypeFull-time
Posted2 weeks ago
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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.

Advanced Data Engineer -:

Job Responsibilities include: - Generate and prepare reports to trackKPI 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 Data Bricks
  • Implement datamodels 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

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About Honeywell

Honeywell

Honeywell

Public

Honeywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building automation, industrial automation, and energy and sustainability solutions (ESS).

10,001+

Employees

Charlotte

Headquarters

$130B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

4.2

Compensation

2.8

Culture

3.9

Career

2.7

Management

3.1

65%

Recommend to a friend

Pros

Good work-life balance

Great benefits and job security

Collaborative and friendly environment

Cons

Low or uncompetitive compensation

Poor management and communication

Limited growth opportunities

Salary Ranges

655 data points

Mid/L4

Senior/L5

Mid/L4 · Data Analyst II

2 reports

$136,600

total per year

Base

$105,077

Stock

-

Bonus

-

$136,600

$136,600

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

33%

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Assessment/Testing

5

Final Interview

6

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit