채용
Required Skills
Python
SQL
AWS
Git
Azure
You will be part of a product development that utilizes Industrial automation process data and perform advanced analytics to provide real-time insights.
- . Bachelor’s degree in engineering from an accredited institution
- . 5years of experience .
Technical skills:
- Hands on experience in Design and development with strong technical background to create performant & extendible applications
- Proficiency in programming languages & libraries
- Cloud: AWS, Azure, Languages: Python, py Spark, Framework: Lambda , Django, Express,Database: Postgres, Mongo, ES.
- Hosting SLM / LLM (Ollama / any other)
- Experience with Llama Index, Langchain etc.
- Document chunking and storage in vector db
- vector / text search Retrieval from document chunks, sql db, knowledge graphs (orientDB/ Kuzu /etc)
- Implementation of multiagents
- Integration of MCP tools.
- Added advantage if worked on on-prem deployment of any multiagentic GenAI application.
- Data transformation and Data engineering using Python
- Experience in developments related to Industrial Automation Domain is an advantage
- Preferred development experience with agile methodologies
- Understanding on version control system – git/bitbucket, DevOps toolset, Github Copilot
- Ability to leverage productivity enhancing (AI) tools to enable faster delivery, more features
- Willingness to explore and adopt to new trends and align to organizational goals
- Demonstrate excellent analytical, technical, interpersonal, be a good team player and be able to perform independently
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2 reports
$136,600
total / year
Base
$105,077
Stock
-
Bonus
-
$136,600
$136,600
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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