PowerApps Developer
KeySkills
Company Name
Job Description
- Your Role
- Developing and deploying PowerApps solutions.
- Architecture and design of Enterprise applications using Power platform.
- Power apps administration (environment creation, access management etc.)
- Develop PowerApps (canvas and model driven apps) with Dataverse or CDS
- Develop Power automate (desktop and cloud version)
- Data integration and connectors (CDS, SharePoint, SQL, etc.)
Your Profile- Hands-on experience on designing/architecting and developing Microsoft Power Platform solutions - Power Apps and Power Automates.
- Good hands-on experience in converting InfoPath forms to SharePoint List customized forms/ PowerApps and converting SP designer workflows to Power automates.
- Extensive experience in creating PowerApps canvas and model driven apps tailored to meet specific business needs.
- Demonstrated ability to create solutions with various data sources such as data verse, SharePoint, SQL, Azure components etc.
- Good understanding of solutions, environment variables, and solution ALM process.
Job Details
Experience :
0 To 1
Number Of
Vacancies :
20
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
3 Lac - 6 Lac
P.A
Education Summary
UG :
Any UG Degree
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
8041042084
e-mailId :
vijayanath.siddhareddy@capgemini.com
Address :
Capgemini Technology Services India Limited,
Eco Space, Pritech Park SEZ,Building 6B, Village, Bellandur,
Outer Ring Road, Bellandur, Bangalore.
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaCustom Software Engineer
Experience -
2 to 5
Full Stack Engineer
Experience -
2 to 5
Azure Data Engineer
Experience -
4 to 9
AIML Engineer
Experience -
0 to 2
Key Skills -
Python,
TensorFlow,
PyTorch,
Scikit-learn,
NLP,
LLMs,
vector databases,
embeddings,
Spark,
Pandas,
SQL,
MLOps,
CI/CD for ML,
model versioning,
Docker,
cloud ML services,
SageMaker,
Vertex AI,
Azure ML,
APIs,
microservices,
production ML systems,
statistics,
linear algebra,
RAG pipelines,
LLM fine-tuning,
reinforcement learning,
GPU optimization.,