Data Engineer @ SNI
3 weeks ago
Skills:
- At least 4-5 years of experience in Data Engineering
- Expertise in Azure cloud service platform
- Proven experience with large databases and data warehouses
- Expertise in Databricks: Delta Tables, DLT, Unity Catalog, performance tuning, etc.
- Good knowledge in Azure services: Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure OpenAI Service
- Proficiency in Python and PySpark
- Knowledge of modern Data Modeling and Design concepts
- Ability to design simplified E2E Azure solution architecture
- Agile - flexibility to execute available tasks in a rapidly changing environment
- Familiarity with authentication mechanisms in Azure
- Ability to use Version Control (Git) with Azure DevOps
Hands-on experience:
- Generative AI Fundamentals/Basics: Understanding of how AI models are trained to generate data (e.g., text, images) and their practical applications in cloud environments. Familiarize with RAG pattern, Experience in prompt engineering.
- MLOps: Familiarity with machine learning operations practices, including model versioning, continuous integration, and deployment (CI/CD) pipelines tailored for AI solutions.
Additional requirements:
- Capacity to work in an international environment using English
- Team player - having a sharing and collaborative mindset
- Takes ownership at work
- Nice to have experience in the automotive industry (Warranty)
Job details:
- Full-time
- Senior/Expert level – Principal position
- Start date: October 2024
- 1st contract till the end of 2025
- Hybrid – at least 1 day onsite in Wroclaw
- Industry: Automotive
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