Senior RPA Developer

JOB DESCRIPTION

Develop, test, and implement RPA solutions using UiPath and Power Automate
Operate and maintain RPA solutions
Create and maintain documentation for RPA processes and solutions
Troubleshoot and resolve issues related to RPA solutions
Continuously improve and optimize RPA processes for efficiency and effectiveness

JOB REQUIREMENT

Primary Skills:
At least 1-2 years of experience in RPA development
Proficiency in UiPath and Power Automate
Basic knowledge of C#/.Net and VBA is preferred
Excellent communication and teamwork abilities
Ability to work independently and manage multiple tasks simultaneously
Familiarity with code versioning tools such as Git
Experience working in an agile team, practicing Scrum or Kanban
Language:
Good English communication is a must
French is a plus
Nice to have:
Experience in Workflow Development
CI/CD tools
Experience with machine learning and artificial intelligence
Soft skills:
Strong problem-solving skills and attention to detail
Proactive and effective self-learning skills and research
Effective verbal English skills in video conference and face-to-face communication

WHAT'S ON OFFER

Competitive salary, health insurance covered for employee and dependents
Working on international projects. Professional and dynamic working environment
Receiving training opportunities including many technical seminars and soft skill training courses
Good opportunity for promotion through regular performance review system.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Visual Basic/VB6, UiPath

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01172

Status:

Close

Related Job:

Senior Product Engineer

Ho Chi Minh - Viet Nam


Product, AI Application Platform

  • Python
  • AI

Design and develop the agent framework, including workflows, tool utilization, orchestration, and reasoning. Create the runtime, governance, and evaluation capabilities to ensure that agents are safe and reliable in production environments. Develop integrations and reusable components that link agents to customer systems and data. Manage features from start to finish: comprehend the user problem, deliver an initial version quickly, then refine it with feedback from end-users until it is polished and truly functional. Utilize these agents in daily tasks and address any obstacles encountered. Maintain high standards for quality and guide others through code reviews.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python
  • Cloud

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details