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Our client is an international manufacturer of cosmetics, perfumes, skin and hair care products. The goal of the project is to create a solution for integrating unstructured data for our client's Data Lake using their own Azure cloud services.
Responsibilities
Responsibilities
- Coordinate and supervise the work of the data processing software development team
- Set up and maintain the development process and tools to ensure efficient execution according to industry best practices (EngX)
- Lead and facilitate the implementation of MVP for unstructured data entering the system
- Participate in backlog support and Scrum processes
- Participate in the creation of BRD, SAD and further implementation of the backlog and instructions for the next stages of the project
- Experience with Data Platform & Solution engineering and Azure's PaaS offerings
- Competence in Azure: Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, Azure Cognitive Services, Azure Form Recognizer
- Practical experience and high level of proficiency in Python and GraphQL
- Knowledge of security best practices (e.g. using Azure Key Vault, IAM, RBAC, Monitor, etc.)
- Ability to integrate, transform and consolidate data from various structured and unstructured data systems into a structure suitable for building various analytical solutions
- Good communication skills, ability to work in a team
- High level of understanding of Azure DevOps, experience working in an Agile environment (Scrum, Kanban)
- Work experience with Azure ML will be an advantage
- Knowledge of written and spoken English at the level of Upper-Intermediate and above (B2+)
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Consider relocation options in over 30 countries worldwide
- Participate in volunteer, charity programs and communities (both technical and interest-based)
- You can plan your individual career path together with your manager.
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children
Key Skills
Ranked by relevance
scrum
artificial intelligence
microsoft purview
serverless
storage
python
devops
cloud
vault
paas
aws
gcp
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- Posted
- Mar 10, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Ukraine
- Company
- EPAM Systems
Industries
Software Development
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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Lead Generative AI Data Scientist
2026-05-24
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Python Software Engineer (Production Data & Model Services)
2026-05-19
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