Robotic Process Automation Consultant

Job Description

Data Scientist – Solution Developer -Automation

Location: Rancho Cucamonga CA (Onsite)

Full time / Perm- Open fot H1B Transfer

Key Responsibilities:

* Collaborate with business stakeholders, process analyst, and Team Members to assess current business processes and identify opportunities for process automation.
* Be knowledgeable about the use of programming tools, coding tools, RPA, AI, Client tools such as Anaconda Navigator, python libraries, and any tool acquired that is maintained or used within IT for automation purposes. Present the reasons for use of the selected tool; justify using the tool to build the proposed automation solution.
* Prepare and maintain accurate, detailed process documentation, including technical requirements, error handling, and exception procedures during development.
* Work with team to create/define Automated processes relative to resolving business automation use cases that will be used to create efficiencies in and continuous improvement of processes including automation, optimization, and elimination of redundant or repetitive tasks.
* Submit code to Git/DevOps repository for version control and as a source of reusable/open information for other RPA/Automation developers.
* Develop an understanding of RPA, Low-Code/No-Code solutions and the ability to work with various software tools to create automation solutions that align with defined business and functional requirements.
* Acquire a solid understanding of the principles of data engineering, including data wrangling/transformation, tools or programming languages, and data visualization/BI technologies for the purposes of automating processes involving data manipulation

Qualifications:

* Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required
* A minimum of two (5) years of information systems experiences at a developer level
* Effective communication skills: oral, written, listening and concept delivery and PoC demonstrations.
* Researching, designing, implementing, and managing RPA projects
* Data analytics/automation tools: Alteryx, Microsoft Power Query, Microsoft Power Apps.
* Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure Client, Java.
* Collaboration software: Teams, Workfront, Asana, Slack, etc.
* Comfortable working in a cloud-based tech environment.
* Comfortable with SQL and frameworks

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