Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Capgemini Polska
17. 1. 2025
Informacje o stanowisku
technologies-expected :
Python
Git
Azure DevOps
technologies-optional :
Azure OpenAI Service
about-project :
In this role, you will be responsible for supporting processes by solving maintenance and data quality issues and ensuring the efficient operation of Client’s organization systems.
responsibilities :
Design and Build: Develop infrastructure that supports efficient access, analysis, and processing of large-scale data.
Optimize Frameworks: Refactor and improve existing systems to enhance performance and scalability.
Validate Solutions: Test data structures and pipelines to ensure reliability and fitness for purpose.
Data Preparation: Prepare and transform raw data to enable seamless use by data scientists.
Maintain Quality: Identify, troubleshoot, and resolve data issues to uphold high-quality standards.
Collaborate with Stakeholders: Engage with end users to clarify requirements and ensure data solutions are well-documented, accessible, and properly backed up for team use.
requirements-expected :
Experience: 4–5 years in data engineering with expertise in handling large databases and data warehouses.
Cloud Proficiency: Deep knowledge of Databricks (Delta Tables, DLT, Unity Catalog), Azure Data Factory, Azure SQL Database, and Azure Key Vault. Familiarity with Azure OpenAI Service is a plus.
Programming Skills: Strong experience with Python and PySpark.
Version Control: Ability to work with Git and Azure DevOps.
AI Knowledge: Understanding of model training, prompt engineering, and the RAG pattern.
MLOps Expertise: Experience with CI/CD pipelines tailored for AI applications.
Soft Skills: Strong problem-solving abilities, collaboration, and adaptability in fast-paced environments.
Industry Knowledge: Familiarity with automotive processes is a bonus.
benefits :
sharing the costs of sports activities
private medical care
life insurance
no dress code
parking space for employees
extra social benefits
redeployment package
employee referral program
charity initiatives
access to courses e.g. Excel, VBA, RPA, Customer Care
