Data Engineer with RPA

Introduction

SwiconGroup is one of the leading members of the IT arena for almost a decade, since 2017 present also in Romania. Our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance and telecommunication companies, as well as large FMCG corporations and SSCs amongst our highly prestigious partners.

Tasks

Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories, or models for structured/unstructured data
Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of the overall architecture of the product or solution
Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs and creates solutions for issues with code and integration into data system architecture
Develops reliable, cost-effective, and high-quality solutions for assigned data system, model, or component
Develop RPA and AI Automation projects
Collaborates and communicates with the project team regarding project progress and issue resolution

Expectations

Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or equivalent
Typically, 4-6 years’ experience
Using data engineering tools, languages, and frameworks to mine, cleanse, and explore data
Fluent in NoSQL & relational based systems
Working with BI Tools like Power BI
Fluent in complex, distributed, and massively parallel systems
Familiar with UiPath and MS Power Automated
Strong analytical and problem-solving skills with the ability to represent complex algorithms in software
Designing data systems/solutions to manage complex data
Strong understanding of RPA and AI automation
Strong understanding of database technologies and management systems
Strong understanding of cloud-based systems/services
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills; mastery of English and local language
Ability to effectively communicate product architectures, design proposals, and negotiate options at management levels