Project Engineer
KeySkills
Job Description
- Job descriptionWe are looking for a PLC and DCS Engineer to build programming using languages and technologies of the process automation framework. If you are also passionate about PLC/DCS/SCADA and Process Automation, we'd like to meet you.Job highlights
- Experience in PLC/DCS programming and process automation technologies
- Build programming using PLC/DCS/SCADA frameworks
Job Details
Experience :
0 To 5
Number Of
Vacancies :
100
Job Type :
Permanent
Industry Type : Electronics
Salary
:
3 Lac - 6 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
PG Diploma
Contact Details
Contact
Person :
NA
Contact
Number :
8067669000
e-mailId :
accessibility@honeywell.com
Address :
Honeywell Technology SolutionsNo. 151/1, Doraisanipalya, Bannerghatta Road, Bangalore-007656 India
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaData Engineer-Data Integration
Experience -
0 to 3
Key Skills -
data engineering,
data integration,
etl,
informatica powercenter,
data warehousing,
business intelligence,
data migration,
cloud,
ms-azure,
power bi,
big data,
sql,
relational databases,
unix,
shell scripting,
python,
data processing,
real-time processing,
batch processing,
data analysis,
data management systems,
unstructured data,
data pipelines,
data transformation,
information management.,
MES Engineer
Experience -
3 to 6
SQL & Unix Systems Analyst - Delivery & Customer Support
Experience -
3 to 5
Key Skills -
Cloud Computing,
Customer Service,
Documenting Skills,
Excellent Communication,
Excellent Organization skills is a must,
Junior DBA skills,
Multi-Tasking Skills,
Oracle Database
SQL (Structured Query Language),
Self-Learner,
Team Player,
Unix/Linux,
self-driven,
able to handle/drive projects independently.,
Senior Analyst
Experience -
0 to 2
Key Skills -
Nlp,
Python,
AWS,
Sql,
Gcp,
Computer Vision,
Azure,
ML for Responsible AI,
AI capabilities,
auto ML,
datasets,
reinforcement learning,
structured data,
R,
Model fine tuning approaches for Large models,
pruning,
Generative AI models,
Statistical ML algorithms,
pre built models,
model deployment,
Model ensembling,
Scaling,
hyperscalers,
Speech,
Deep Neural Network architectures,
software development architectures,
Model Quantization,
model fine tuning
,