Ukraine only_ We are looking for Junior Data (ML) Engineer for our project Offline

Job Description

Minimum of 1-2 years in working with Enterprise Data Warehouse technologies including Multi-Dimensional Data Modeling, Data Architecture, or other work related to the construction of enterprise data assets

Extensive experience in developing microservices by using Python

Experience in analyzing data using Python

Data modeling and schema design

Strong SQL programming background with the ability to troubleshoot and tune the code

Proven understanding and demonstrable implementation experience of cloud data platform technologies

Hands-on experience with ML models

Understanding of Gen AI principals

Would benefit previous years of experience and a substantial understanding in the:

Kafka

AWS pipeline orchestration technologies, such as Data Pipeline(in use), Step Functions, and Lambda (in use)

AWS data access/warehousing tools, such as Athena (in use) and Aurora

Strong problem-solving, troubleshooting, and analysis skills

Able to mentor junior-grade engineers

Good knowledge of Agile Scrum

Good communication skills

English - Upper-Intermediate

Job Responsibilities

Develop and manage large-scale data systems ingestion capabilities and infrastructure

Support Design and development of solutions for the deployment of dashboards and reports to various stakeholders

Work directly with the business teams to rapidly prototype analytics solutions based on business requirements

Architect data pipelines and ETL processes to connect with various data sources

Design and maintain enterprise data warehouse models

Manage cloud-based data & analytics platform

Deploy updates and fixes and assist technical support

Participation in GenAI / ML related product development

Department/Project Description

GlobalLogic is building an analytical platform for the client. A platform that will be gathering information about some companies from various sources, will normalize it according to the predefined flow and will show it to the user as a set of analytical dashboards. The gathered and processed information will let the customers make decisions regarding the business state of the investigated companies. Analytical information will help customers to predict the future state of the appropriate companies and improve customer’s business processes.

The client provides high-value analysis and support to partner companies for the identification and mitigation of emerging business challenges. Today the customer’s business processes are highly manual and fragmented.

The project is aimed to define and bring to life a digital platform that connects the client employees with relevant and meaningful information about their portfolio holdings, enabling insights and action.